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/*---------------------------------------------------------------------------*/
/* Vesione dell'Autofill aggiornata al 22.11.94 (Fabrizio Grisoli)           */
/*---------------------------------------------------------------------------*/
/* aggiornata il 20.8.98 per CM24 (W.T.) */

#include "autofill.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "toonz/toonzimageutils.h"
#include "tw/tw.h"
#include "toonz/fill.h"
#include "toonz/ttilesaver.h"
#include "toonz4.6/tmacro.h"
/*
#include "tropcm.h"
#include "timage_io.h"
#include "tlevel_io.h"
#include "toonz/txshsimplelevel.h"
#include "toonz/tscenehandle.h"
#include "tools/tool.h"*/

#define PRINTF

struct s_segm {
	int xa, xb, region;
};

typedef struct big {
	UINT lo, hi;
} BIG;
#define ADD_BIG(B, X) ((B).lo += (UINT)(X), \
					   (B).hi += (B).lo >> 30, (B).lo &= 0x3fffffff, (B))
#define ASS_BIG(B, X) ((B).lo = (UINT)(X), \
					   (B).hi = (B).lo >> 30, (B).lo &= 0x3fffffff, (B))
#define ADD_BIG_BIG(B1, B2) ((B1).lo += (B2).lo, (B1).hi += (B2).hi, \
							 (B1).hi += (B1).lo >> 30, (B1).lo &= 0x3fffffff, (B1))
#define BIG_TO_DOUBLE(B) ((double)(B).hi * (double)0x40000000 + (double)(B).lo)

#define BORDER_TOO 1
#define NO_BORDER 0
#define DIM_TRESH 0.00005
#define AMB_TRESH 130000
#define MIN_SIZE 20

struct vicine {
	int region_id;
	struct vicine *next;
};

struct s_fabri_region {
	int active,
		nextfree,
		x, y, x1, y1, x2, y2, lx, ly,
		xm, ym, npix, lxa, lxb,
		tone, color_id,
		per, holes, match;
	BIG bx, by;
	BIG bx2, by2;
	struct vicine *vicini;
};

struct s_fabri_region_list {
	struct s_fabri_region *array;
	int size, n, lx, ly;
};

static struct s_fabri_region_list
	F_reference = {0, 0, 0},
	F_work = {0, 0, 0};

static int F_ref_bx = 0;
static int F_ref_by = 0;
static int F_wor_bx = 0;
static int F_wor_by = 0;
static int Dx_f = 0, DP_f = 0, Df_f = 0;
static int Dx_t = 0, DP_t = 0, Df_t = 0;

/*---------------------------------------------------------------------------*/
/*-- Local Prototipes -------------------------------------------------------*/

static int trova_migliore_padre(int prob_vector[], int *att_best);
static int match(int prob[], int padre, int *fro, int *to);

static void scan_fabri_regions(TRasterCM32P ras, struct s_fabri_region_list *rlst, int mode,
							   int x1, int y1, int x2, int y2);
static void rinomina(int r1, int r2, int r_num, struct s_fabri_region_list *rl);
static void aggiungi(int r1, int r2, struct s_fabri_region_list *rlst);
static void rimuovi_tutti(int r1, struct s_fabri_region_list *rlst);
static void fondi(struct s_fabri_region_list *rlst, int r1, int r2);
static void assign_prob3(int prob[], int i, int j);
static void find_best(int prob_vector[], int *col, int to);
static void free_list(struct vicine **vic);
static int somma_quadrati(int x, int y);

/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
void rect_autofill_learn(const TToonzImageP &imgToLearn, int x1, int y1, int x2, int y2)
/*---------------------------------------------------------------------------*/
{
	int i;
	double pbx, pby;
	double abx, aby;
	int tot_pix = 0;

	if ((x2 - x1) * (y2 - y1) < MIN_SIZE)
		return;

	pbx = pby = 0.0;
	abx = aby = 0.0;

	TRasterCM32P ras = imgToLearn->getRaster();

	if (F_reference.array) {
		for (i = 0; i < F_reference.n; i++)
			free_list(&F_reference.array[i].vicini);
		free(F_reference.array);
	}

	F_reference.array = 0;
	F_reference.size = 0;
	F_reference.n = 0;
	F_reference.lx = 0;
	F_reference.ly = 0;

	scan_fabri_regions(ras, &F_reference, 1, x1, y1, x2, y2);

	for (i = 0; i < F_reference.n; i++) {
		F_reference.array[i].match = -1;
		F_reference.array[i].color_id = ras->pixels(F_reference.array[i].y)[F_reference.array[i].x].getPaint();
		pbx += BIG_TO_DOUBLE(F_reference.array[i].bx);
		pby += BIG_TO_DOUBLE(F_reference.array[i].by);
		abx = BIG_TO_DOUBLE(F_reference.array[i].bx);
		aby = BIG_TO_DOUBLE(F_reference.array[i].by);
		tot_pix += F_reference.array[i].npix;
	}

	if (tot_pix) {
		F_ref_bx = pbx / tot_pix;
		F_ref_by = pby / tot_pix;
	} else {
		F_ref_bx = 0;
		F_ref_by = 0;
	}
}

/*----------------------------------------------------------------------------*/
bool rect_autofill_apply(const TToonzImageP &imgToApply, int x1, int y1, int x2, int y2, bool selective, TTileSetCM32 *tileSet)
/*----------------------------------------------------------------------------*/
{
	double pbx, pby;
	double abx, aby;
	int i, j;
	int tot_pix = 0;
	int *prob_vector;
	int fro, to;
	int col;
	int valore;
	int padre;
	//int temp_prob, att_match;
	TRasterCM32P ras = imgToApply->getRaster();

	if ((x2 - x1) * (y2 - y1) < MIN_SIZE)
		return false;

	if (F_reference.n <= 0 || F_reference.array == 0)
		return false;

	pbx = pby = 0.0;
	abx = aby = 0.0;

	/* Resetta gli eventuali accoppiamenti fatti precedentemente */
	for (i = 0; i < F_reference.n; i++)
		F_reference.array[i].match = -1;

	if (F_work.array) {
		for (i = 0; i < F_work.n; i++)
			free_list(&F_work.array[i].vicini);
		free(F_work.array);
	}
	F_work.array = 0;
	F_work.size = 0;
	F_work.n = 0;
	F_work.lx = 0;
	F_work.ly = 0;

	scan_fabri_regions(ras, &F_work, 1, x1, y1, x2, y2);
	if (F_work.n <= 0 || F_work.array == 0)
		return false;

	if (abs(F_work.lx * F_work.ly - F_reference.lx * F_reference.ly) > 0.1 *
																		   (F_work.lx * F_work.ly + F_reference.lx * F_reference.ly))
		return false;

	for (i = 0; i < F_work.n; i++) {
		F_work.array[i].match = -1;
		pbx += BIG_TO_DOUBLE(F_work.array[i].bx);
		pby += BIG_TO_DOUBLE(F_work.array[i].by);
		abx = BIG_TO_DOUBLE(F_work.array[i].bx);
		aby = BIG_TO_DOUBLE(F_work.array[i].by);
		tot_pix += F_work.array[i].npix;
	}

	F_wor_bx = pbx / tot_pix;
	F_wor_by = pby / tot_pix;

	prob_vector = (int *)calloc(3 * F_work.n * F_reference.n, sizeof(int));

	for (i = 0; i < F_reference.n; i++)
		for (j = 0; j < F_work.n; j++)
			assign_prob3(prob_vector, i, j);

	Dx_f = Dx_f / F_reference.n;
	DP_f = DP_f / F_reference.n;
	Df_f = Df_f / F_reference.n;

	Dx_t = Dx_t / F_work.n;
	DP_t = DP_t / F_work.n;
	Df_t = Df_t / F_work.n;

#ifdef SELECTIVE
	if (selective) {
		//Accoppia non trasparenti

		for (i = 0; i < F_work.n; i++)
			if (F_work.array[i].color_id != 0) {
				temp_prob = 0;
				att_match = F_reference.n;
				/* Se non verra' aggiornato in seguito non verra' *
        * comunque piu' cambiato di colore               */
				for (j = 0; j < F_reference.n; j++)
					if ((F_reference.array[i].match < 0) &&
						((prob_vector[i * F_reference.n + j] / 1000.0) *
							 (prob_vector[i * F_reference.n + j] / 1000.0) *
							 (prob_vector[2 * (F_work.n * F_reference.n) + i * F_reference.n + j] / 1500.0) >
						 temp_prob)) {
						att_match = j;
						temp_prob = (prob_vector[i * F_reference.n + j] / 1000.0) *
									(prob_vector[i * F_reference.n + j] / 1000.0) *
									(prob_vector[2 * (F_work.n * F_reference.n) + i * F_reference.n + j] / 1500.0);
					}
				F_work.array[i].match = att_match;
				if (att_match < F_reference.n)
					F_reference.array[att_match].match = i;
			}

		/*--------------------------------------------------------------------------*/
	}
#endif

	bool recomputeBBox = false;
	FillParameters params;
	params.m_emptyOnly = selective;
	for (i = 0; i < F_reference.n && i < F_work.n; i++) {
		padre = trova_migliore_padre(prob_vector, &fro);
		valore = match(prob_vector, padre, &fro, &to);
		if (valore > AMB_TRESH) {
			F_work.array[to].match = fro;
			F_reference.array[fro].match = to;
			F_work.array[to].color_id = F_reference.array[fro].color_id;
			if ((F_work.array[to].color_id != 0) && (valore != 0)) {
				params.m_p = TPoint(F_work.array[to].x, F_work.array[to].y);
				params.m_styleId = F_work.array[to].color_id;
				TTileSaverCM32 tileSaver(ras, tileSet);
				recomputeBBox = fill(ras, params, &tileSaver) || recomputeBBox;
			}
		}
	}
	/*..........................................................................*/
	/* Matching basato sulla probabilita' di colore                             */
	/*..........................................................................*/
	if (FALSE) {
		bool recomputeBBox = false;
		for (i = 0; i < F_work.n; i++) {
			if (F_work.array[i].match < 0) {
				find_best(prob_vector, &col, i);
				F_work.array[i].match = 1;
				F_work.array[i].color_id = col;
				if (F_work.array[i].color_id != 0) {
					params.m_p = TPoint(F_work.array[i].x, F_work.array[i].y);
					params.m_styleId = F_work.array[i].color_id;

					TTileSaverCM32 tileSaver(ras, tileSet);
					recomputeBBox = fill(ras, params, &tileSaver) || recomputeBBox;
				}
			}
		}
	}
	free(prob_vector);
	return recomputeBBox;
}

/*---------------------------------------------------------------------------*/
/* Versione del Learning delle aree di Fabrizio                              */
/*...........................................................................*/
void autofill_learn(const TToonzImageP &imgToLearn)
/*---------------------------------------------------------------------------*/
{
	int i;
	double pbx, pby;
	double abx, aby;
	int tot_pix = 0;

	pbx = pby = 0.0;
	abx = aby = 0.0;

	TRasterCM32P ras = imgToLearn->getRaster();

	if (F_reference.array) {
		for (i = 0; i < F_reference.n; i++)
			free_list(&F_reference.array[i].vicini);
		free(F_reference.array);
	}

	F_reference.array = 0;
	F_reference.size = 0;
	F_reference.n = 0;
	F_reference.lx = 0;
	F_reference.ly = 0;

	scan_fabri_regions(ras, &F_reference, 0, 0, 0, 0, 0);

	for (i = 0; i < F_reference.n; i++) {
		F_reference.array[i].match = -1;
		F_reference.array[i].color_id = ras->pixels(F_reference.array[i].y)[F_reference.array[i].y].getPaint();
		pbx += BIG_TO_DOUBLE(F_reference.array[i].bx);
		pby += BIG_TO_DOUBLE(F_reference.array[i].by);
		abx = BIG_TO_DOUBLE(F_reference.array[i].bx);
		aby = BIG_TO_DOUBLE(F_reference.array[i].by);
		tot_pix += F_reference.array[i].npix;
	}
	F_ref_bx = pbx / tot_pix;
	F_ref_by = pby / tot_pix;
}

/*-- end of learn_fabrizio --------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/* Versione del matching delle aree di Fabrizio                              */
/*...........................................................................*/
bool autofill_apply(const TToonzImageP &imgToApply, bool selective, TTileSetCM32 *tileSet)
/*---------------------------------------------------------------------------*/
{
	double pbx, pby;
	double abx, aby;
	int i, j;
	int tot_pix = 0;
	int *prob_vector;
	int fro, to;
	int col;
	int valore;
	int padre;
	//  int  temp_prob, att_match;

	if (F_reference.n <= 0 || F_reference.array == 0)
		return false;

	pbx = pby = 0.0;
	abx = aby = 0.0;

	TRasterCM32P ras = imgToApply->getRaster();

	/* Resetta gli eventuali accoppiamenti fatti precedentemente */
	for (i = 0; i < F_reference.n; i++)
		F_reference.array[i].match = -1;

	if (F_work.array) {
		for (i = 0; i < F_work.n; i++)
			free_list(&F_work.array[i].vicini);
		free(F_work.array);
	}
	F_work.array = 0;
	F_work.size = 0;
	F_work.n = 0;
	F_work.lx = 0;
	F_work.ly = 0;

	scan_fabri_regions(ras, &F_work, 0, 0, 0, 0, 0);

	if (abs(F_work.lx * F_work.ly - F_reference.lx * F_reference.ly) > 0.1 *
																		   (F_work.lx * F_work.ly + F_reference.lx * F_reference.ly))
		return false;

	for (i = 0; i < F_work.n; i++) {
		F_work.array[i].match = -1;
		pbx += BIG_TO_DOUBLE(F_work.array[i].bx);
		pby += BIG_TO_DOUBLE(F_work.array[i].by);
		abx = BIG_TO_DOUBLE(F_work.array[i].bx);
		aby = BIG_TO_DOUBLE(F_work.array[i].by);
		tot_pix += F_work.array[i].npix;
	}

	F_wor_bx = pbx / tot_pix;
	F_wor_by = pby / tot_pix;

	prob_vector = (int *)calloc(3 * F_work.n * F_reference.n, sizeof(int));

	for (i = 0; i < F_reference.n; i++)
		for (j = 0; j < F_work.n; j++)
			assign_prob3(prob_vector, i, j);

	Dx_f = Dx_f / F_reference.n;
	DP_f = DP_f / F_reference.n;
	Df_f = Df_f / F_reference.n;

	Dx_t = Dx_t / F_work.n;
	DP_t = DP_t / F_work.n;
	Df_t = Df_t / F_work.n;

#ifdef SELECTIVE
	if (selective) {
		// Accoppia non trasparenti
		for (i = 0; i < F_work.n; i++)
			if (F_work.array[i].color_id != 0) {
				temp_prob = 0;
				att_match = F_reference.n;
				/* Se non verra' aggiornato in seguito non verra' *
      * comunque piu' cambiato di colore               */
				for (j = 0; j < F_reference.n; j++)
					if ((F_reference.array[i].match < 0) &&
						((prob_vector[i * F_reference.n + j] / 1000.0) *
							 (prob_vector[i * F_reference.n + j] / 1000.0) *
							 (prob_vector[2 * (F_work.n * F_reference.n) + i * F_reference.n + j] / 1500.0) >
						 temp_prob)) {
						att_match = j;
						temp_prob = (prob_vector[i * F_reference.n + j] / 1000.0) *
									(prob_vector[i * F_reference.n + j] / 1000.0) *
									(prob_vector[2 * (F_work.n * F_reference.n) + i * F_reference.n + j] / 1500.0);
					}
				F_work.array[i].match = att_match;
				if (att_match < F_reference.n)
					F_reference.array[att_match].match = i;
			}

		/*--------------------------------------------------------------------------*/
	}
#endif

	bool recomputeBBox = false;
	FillParameters params;
	params.m_emptyOnly = selective;
	for (i = 0; i < F_reference.n && i < F_work.n; i++) {
		padre = trova_migliore_padre(prob_vector, &fro);
		valore = match(prob_vector, padre, &fro, &to);
		if (valore > AMB_TRESH) {
			F_work.array[to].match = fro;
			F_reference.array[fro].match = to;
			F_work.array[to].color_id = F_reference.array[fro].color_id;
			if ((F_work.array[to].color_id != 0) && (valore != 0)) {
				params.m_p = TPoint(F_work.array[to].x, F_work.array[to].y);
				params.m_styleId = F_work.array[to].color_id;

				TTileSaverCM32 tileSaver(ras, tileSet);
				recomputeBBox = fill(ras, params, &tileSaver) || recomputeBBox;
			}
		}
		/*..........................................................................*/
		/* Matching basato sulla probabilita' di colore                             */
		/*..........................................................................*/
		if (FALSE) {
			bool recomputeBBox = false;
			for (i = 0; i < F_work.n; i++) {
				if (F_work.array[i].match < 0) {
					find_best(prob_vector, &col, i);
					F_work.array[i].match = 1;
					F_work.array[i].color_id = col;
					if (F_work.array[i].color_id != 0) {
						params.m_p = TPoint(F_work.array[i].x, F_work.array[i].y);
						params.m_styleId = F_work.array[i].color_id;

						TTileSaverCM32 tileSaver(ras, tileSet);
						recomputeBBox = fill(ras, params, &tileSaver) || recomputeBBox;
					}
				}
			}
		}
	}
	free(prob_vector);
	return recomputeBBox;
}

/*-- end of apply_fabrizio --------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/* Scansione delle aree di Fabrizio                                          */
/*...........................................................................*/
static void scan_fabri_regions(TRasterCM32P ras, struct s_fabri_region_list *rlst,
							   int mode, int ex1, int ey1, int ex2, int ey2)
/*---------------------------------------------------------------------------*/
{
	int firstfree;
	TPixelCM32 *pix;
	int xa, xb;
	int xp, x, y, x1, y1, x2, y2, tmp;
	int dx, dy, i, j, h, n, tone, maxtone;
	int rold, rcur, nold, ncur;
	int precedente;
	struct s_segm *row[2];
	int *ultima_zona;
	int region_id, region_old, keep, discard, vicina;
	bool border_tooX1, border_tooY1, border_tooX2, border_tooY2;

	x1 = ex1;
	x2 = ex2;
	y1 = ey1;
	y2 = ey2;
	TRect rect = ras->getBounds();
	border_tooX1 = x1 == rect.x0;
	border_tooY1 = y1 == rect.y0;
	border_tooX2 = x2 == rect.x1;
	border_tooY2 = y2 == rect.y1;

	dx = x2 - x1 + 1;
	dy = y2 - y1 + 1;

	rlst->lx = dx;
	rlst->ly = dy;

	row[0] = (struct s_segm *)calloc(dx, sizeof(struct s_segm));
	row[1] = (struct s_segm *)calloc(dx, sizeof(struct s_segm));
	ultima_zona = (int *)calloc(dx, sizeof(int));
	rold = 1;
	rcur = 0;
	nold = ncur = 0;
	vicina = -1;

	for (tmp = 0; tmp < dx; tmp++)
		ultima_zona[tmp] = -1;

	/*.. Inizializza la struttura ...............................................*/
	rlst->size = 100;
	rlst->array = (struct s_fabri_region *)
		calloc(rlst->size, sizeof(struct s_fabri_region));
	rlst->n = 0;
	firstfree = -1;
	for (tmp = 0; tmp < rlst->size; tmp++) {
		rlst->array[tmp].vicini = NULL;
		rlst->array[tmp].holes = 0;
	}
	/*...........................................................................*/

	for (y = y1; y <= y2; y++) {
		vicina = -1;
		pix = ras->pixels(y) + x1;
		x = x1;
		PRINTF("Cerca Area \n");
		while (x <= x2) {
			while (x <= x2 && pix->getTone() < pix->getMaxTone()) {
				pix++;
				x++;
			}			   /*cerca una area */
			if (x <= x2) { /* non ho raggiunto il bordo */
				PRINTF("Prima del Bordo \n");
				xa = x;
				maxtone = pix->getTone();
				xp = x;
				while (x <= x2 && pix->getTone() >= pix->getMaxTone()) {
					tone = pix->getTone();
					if (tone > maxtone) {
						maxtone = tone;
						xp = x;
					}
					pix++;
					x++;
				}
				xb = x - 1;

				PRINTF("Trovata Area \n");
				region_id = -1;

				for (j = 0; j < nold && row[rold][j].xa <= xb; j++) {
					if (row[rold][j].xb >= xa && row[rold][j].xa <= xb) {
						region_old = row[rold][j].region;
						if (region_id == region_old)
							rlst->array[region_id].holes++;
						if (region_id < 0) {
							region_id = region_old;
							rlst->array[region_id].per += 2 * (xb - xa + 1) + 2 -
														  2 * (std::min(row[rold][j].xb, xb) - std::max(row[rold][j].xa, xa) + 1);
						} else if (region_id != region_old) {
							/* CONTATTO FRA region_id E region_old */
							PRINTF("Contatto tra %d e %d \n", region_id, region_old);
							keep = region_old;
							discard = region_id;
							if (keep > discard) {
								tmp = keep;
								keep = discard;
								discard = tmp;
							}
							/*.. UNISCO LE DUE REGIONI..................... */
							if (rlst->array[discard].x1 < rlst->array[keep].x1)
								rlst->array[keep].x1 = rlst->array[discard].x1;
							if (rlst->array[discard].y1 < rlst->array[keep].y1)
								rlst->array[keep].y1 = rlst->array[discard].y1;
							if (rlst->array[discard].x2 > rlst->array[keep].x2)
								rlst->array[keep].x2 = rlst->array[discard].x2;
							if (rlst->array[discard].y2 > rlst->array[keep].y2)
								rlst->array[keep].y2 = rlst->array[discard].y2;

							rlst->array[keep].holes += rlst->array[discard].holes;
							rlst->array[keep].npix += rlst->array[discard].npix;
							rlst->array[keep].per += rlst->array[discard].per -
													 2 * (std::min(row[rold][j].xb, xb) - std::max(row[rold][j].xa, xa) + 1);

							fondi(rlst, keep, discard);

							ADD_BIG_BIG(rlst->array[keep].by, rlst->array[discard].by);
							ADD_BIG_BIG(rlst->array[keep].bx, rlst->array[discard].bx);
							ADD_BIG_BIG(rlst->array[keep].by2, rlst->array[discard].by2);
							ADD_BIG_BIG(rlst->array[keep].bx2, rlst->array[discard].bx2);
							if (rlst->array[keep].tone < rlst->array[discard].tone) {
								rlst->array[keep].x = rlst->array[discard].x;
								rlst->array[keep].y = rlst->array[discard].y;
								rlst->array[keep].tone = rlst->array[discard].tone;
							}
							/* OGNI RIFERIMENTO A 'discard' DIVENTA UN RIF.  A 'keep' */
							for (h = 0; h < nold; h++)
								if (row[rold][h].region == discard)
									row[rold][h].region = keep;
							for (h = 0; h < ncur; h++)
								if (row[rcur][h].region == discard)
									row[rcur][h].region = keep;
							region_id = keep;
							rinomina(discard, keep, rlst->n, rlst);
							for (tmp = 0; tmp < dx; tmp++)
								if (ultima_zona[tmp] == discard)
									ultima_zona[tmp] = keep;
							/* AGGIUNGO discard AL POOL DEI LIBERI */
							rlst->array[discard].active = 0;
							rlst->array[discard].nextfree = firstfree;
							free_list(&rlst->array[discard].vicini);
							rlst->array[discard].vicini = NULL;

							firstfree = discard;
						} /* end elseif */
					}	 /* end of if */
				}		  /* end of for */
				PRINTF("Region ID %d %d %d %d \n", region_id, xa, xb, y);
				PRINTF("Memorizza Area \n");
				if (region_id >= 0) {
					rlst->array[region_id].lxb = xb;
					rlst->array[region_id].lxa = xa;
					if (xa < rlst->array[region_id].x1)
						rlst->array[region_id].x1 = xa;
					if (xb > rlst->array[region_id].x2)
						rlst->array[region_id].x2 = xb;
					if (y < rlst->array[region_id].y1)
						rlst->array[region_id].y1 = y;
					if (y > rlst->array[region_id].y2)
						rlst->array[region_id].y2 = y;
					rlst->array[region_id].npix += xb - xa + 1;
					ADD_BIG(rlst->array[region_id].by, (xb - xa + 1) * y);
					ADD_BIG(rlst->array[region_id].bx, (xb - xa + 1) * (xb + xa) / 2);
					ADD_BIG(rlst->array[region_id].by2, (xb - xa + 1) * y * y);
					ADD_BIG(rlst->array[region_id].bx2, somma_quadrati(xa, xb));
					if (rlst->array[region_id].tone < maxtone ||
						(rlst->array[region_id].x2 - rlst->array[region_id].x1) < xb - xa) {
						rlst->array[region_id].x = xp;
						rlst->array[region_id].y = y;
						rlst->array[region_id].tone = maxtone;
					}
				} else {
					/* CREO UNA NUOVA REGIONE */
					if (firstfree < 0) {
						if (rlst->n >= rlst->size) {
							rlst->size += 50;
							rlst->array = (struct s_fabri_region *)
								realloc(rlst->array, rlst->size * sizeof(struct s_fabri_region));
							for (tmp = rlst->size - 1; tmp >= rlst->size - 50; tmp--)
								rlst->array[tmp].vicini = NULL;
						}
						region_id = rlst->n++;
					} else {
						region_id = firstfree;
						firstfree = rlst->array[region_id].nextfree;
					}
					rlst->array[region_id].active = 1;
					rlst->array[region_id].vicini = NULL;
					rlst->array[region_id].nextfree = 0;
					rlst->array[region_id].x = xp;
					rlst->array[region_id].y = y;
					rlst->array[region_id].x1 = xa;
					rlst->array[region_id].y1 = y;
					rlst->array[region_id].x2 = xb;
					rlst->array[region_id].y2 = y;
					rlst->array[region_id].npix = xb - xa + 1;
					rlst->array[region_id].holes = 0;
					rlst->array[region_id].per = 2 * (xb - xa + 1) + 2;
					rlst->array[region_id].lxb = xb;
					rlst->array[region_id].lxa = xa;
					ASS_BIG(rlst->array[region_id].by, (xb - xa + 1) * y);
					ASS_BIG(rlst->array[region_id].bx, (xb - xa + 1) * (xb + xa) / 2);
					ASS_BIG(rlst->array[region_id].by2, (xb - xa + 1) * y * y);
					ASS_BIG(rlst->array[region_id].bx2, somma_quadrati(xa, xb));
					rlst->array[region_id].tone = maxtone;
					rlst->array[region_id].color_id = pix->getPaint();
				}

				/* MEMORIZZO LA REGIONE CORRENTE */
				precedente = -1;
				/*-----------------------------------------------------
        .. Controlla se esiste vicinanza verticale ...........*/
				for (tmp = xa; tmp <= xb; tmp++) {
					if (ultima_zona[tmp - x1] != precedente) {
						aggiungi(ultima_zona[tmp - x1], region_id, rlst);
						precedente = ultima_zona[tmp - x1];
					}
					ultima_zona[tmp - x1] = region_id;
				}
				/*-----------------------------------------------------*/
				aggiungi(vicina, region_id, rlst);
				vicina = region_id;
				if (ncur >= dx - 1) {
					printf("autofill: row overflow dx=%d\n", dx);
					exit(1);
				}
				row[rcur][ncur].xa = xa;
				row[rcur][ncur].xb = xb;
				row[rcur][ncur].region = region_id;
				ncur++;
			} /* end of if#1 */
		}	 /* end of while#1 */
		rcur = 1 - rcur;
		rold = 1 - rold;
		nold = ncur;
		ncur = 0;
	} /* end of for#1 */
	n = 0;
	/* mostra_vicini(rlst); */
	for (i = 0; i < rlst->n; i++)
		if ((rlst->array[i].active) &&
			((rlst->array[i].x1 > x1 || border_tooX1) &&
			 (rlst->array[i].x2 < x2 || border_tooX2) &&
			 (rlst->array[i].y1 > y1 || border_tooY1) &&
			 (rlst->array[i].y2 < y2 || border_tooY2))) {
			if (n < i) {
				rlst->array[n] = rlst->array[i];
				rlst->array[n].vicini = rlst->array[i].vicini;
				rinomina(i, n, rlst->n, rlst);
				for (tmp = 0; tmp < dx; tmp++)
					if (ultima_zona[tmp] == i)
						ultima_zona[tmp] = n;
			}
			rlst->array[n].lx = rlst->array[n].x2 - rlst->array[n].x1 + 1;
			rlst->array[n].ly = rlst->array[n].y2 - rlst->array[n].y1 + 1;
			rlst->array[n].xm = (rlst->array[n].x2 + rlst->array[n].x1) / 2;
			rlst->array[n].ym = (rlst->array[n].y2 + rlst->array[n].y1) / 2;
			n++;
		} else
			rimuovi_tutti(i, rlst);
	/* mostra_vicini(rlst); */
	rlst->n = n;
	free(row[0]);
	free(row[1]);
	free(ultima_zona);
}
/*- end of scan_fabri_regions --------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*---------------------------------------------------------------------------*/
/*  Rinomina tutti i vicini regione1 in regione2                             */
/*...........................................................................*/
static void rinomina(int regione1, int regione2, int num_regioni,
					 struct s_fabri_region_list *rlst)
/*---------------------------------------------------------------------------*/
{
	struct vicine *appo, *old, appo1;
	int i;
	int trovato = FALSE;

	PRINTF("Rinomino %d %d Regioni: %d \n", regione1, regione2, num_regioni);
	/* mostra_vicini(rlst);  */
	for (i = 0; i < num_regioni; i++)
		if (rlst->array[i].active) {
			trovato = ((i == regione2) || (i == regione1));
			PRINTF(">> %d \n", i);
			old = NULL;
			appo = rlst->array[i].vicini;
			while (appo != NULL) {
				if ((appo->region_id == regione2) || (appo->region_id == regione1)) {
					if (trovato)
						if (old != NULL) {
							PRINTF("A%d %d \n", i, appo->region_id);
							old->next = appo->next;
							free(appo);
							appo = old->next;
							/* mostra_vicini(rlst); */
						} else {
							PRINTF("B%d %d \n", i, appo->region_id);
							rlst->array[i].vicini = appo->next;
							appo1 = *appo;
							free(appo);
							appo = appo1.next;
						}
					else /* non ho ancora trovato */
					{
						PRINTF("S%d \n", appo->region_id);
						appo->region_id = regione2;
						old = appo;
						appo = appo->next;
						trovato = TRUE;
					}
				} else /* region_id non e' region2 o regione 1 */
				{
					PRINTF("D%d \n", appo->region_id);
					old = appo;
					appo = appo->next;
				}
			}
		}
	PRINTF("Rinomino %d %d\n", regione1, regione2);
	/*   mostra_vicini(rlst);  */
}

/*- end of rinomina ---------------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/* Aggiunge a regione2 il vicino regione1 e viceversa                        */
/*...........................................................................*/
static void aggiungi(int regione1, int regione2,
					 struct s_fabri_region_list *rlst)
/*---------------------------------------------------------------------------*/
{
	struct vicine *appo1, *appo2;

	/*  if((regione1==0)||(regione2==0)) */
	PRINTF("Aggiungo %d a %d\n", regione1, regione2);
	if ((regione1 != -1) && (regione2 != -1) && (regione2 != regione1)) {
		if (rlst->array[regione1].active) {
			appo1 = rlst->array[regione1].vicini;
			while ((appo1 != NULL) && (appo1->region_id != regione2))
				appo1 = appo1->next;
			if (appo1 == NULL) {
				appo1 = (struct vicine *)calloc(1, sizeof(struct vicine));
				appo1->next = rlst->array[regione1].vicini;
				appo1->region_id = regione2;
				rlst->array[regione1].vicini = appo1;
			}
		}

		if (rlst->array[regione2].active) {
			appo2 = rlst->array[regione2].vicini;
			while ((appo2 != NULL) && (appo2->region_id != regione1))
				appo2 = appo2->next;
			if (appo2 == NULL) {
				appo2 = (struct vicine *)calloc(1, sizeof(struct vicine));
				appo2->next = rlst->array[regione2].vicini;
				appo2->region_id = regione1;
				rlst->array[regione2].vicini = appo2;
			}
		}
	}
	PRINTF("Aggiunto %d a %d\n", regione1, regione2);
}

/*- end of aggiungi ---------------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Aggiunge i vicini di r2 a quelli di r1                                   */
/*...........................................................................*/
static void fondi(struct s_fabri_region_list *rlst, int r1, int r2)
/*---------------------------------------------------------------------------*/
{
	struct vicine *appo1, *appo2, *appo3;

	PRINTF("Fondi %d %d \n", r1, r2);
	/* mostra_vicini(rlst); */
	appo2 = rlst->array[r2].vicini;
	while (appo2 != NULL) {
		appo1 = rlst->array[r1].vicini;
		while ((appo1 != NULL) && (appo1->region_id != appo2->region_id) &&
			   (appo2->region_id != r1))
			appo1 = appo1->next;
		if (appo1 == NULL) {
			appo3 = (struct vicine *)calloc(1, sizeof(struct vicine));
			appo3->next = rlst->array[r1].vicini;
			appo3->region_id = appo2->region_id;
			rlst->array[r1].vicini = appo3;
			appo2 = appo2->next;
		} else {
			appo2 = appo2->next;
		}
	}
	PRINTF("Fuso %d %d \n", r1, r2);
	/* mostra_vicini(rlst); */
}

/*- end of fondi ------------------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Mostra i vicini di ogni regione                                          */
/*...........................................................................*/
static void mostra_vicini(struct s_fabri_region_list *rlst)
/*---------------------------------------------------------------------------*/
{
	int i;
	struct vicine *appo;

	for (i = 0; i < rlst->n; i++)
		if (rlst->array[i].active) {
			PRINTF("Region: %d ::", i);
			appo = rlst->array[i].vicini;
			while (appo != NULL) {
				PRINTF("%d ", appo->region_id);
				appo = appo->next;
			}
			PRINTF("\n");
		} else
			PRINTF("Region: %d inactive \n", i);
}

/*- end of mostra_vicini ----------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Rimuove r1 come vicino in ogni regione                                   */
/*...........................................................................*/
static void rimuovi_tutti(int r1, struct s_fabri_region_list *rlst)
/*---------------------------------------------------------------------------*/
{
	struct vicine *appo, *old;
	int i;

	PRINTF("Elimino %d \n", r1);
	/* mostra_vicini(rlst);  */
	for (i = 0; i < rlst->n; i++)
		if (rlst->array[i].active) {
			PRINTF(">> %d \n", i);
			old = NULL;
			appo = rlst->array[i].vicini;
			while (appo != NULL) {
				if (appo->region_id == r1) {
					PRINTF("A%d %d\n", appo->region_id, old->region_id);
					if (old != NULL) {
						old->next = appo->next;
						/* free(appo); */
						appo = old->next;
						/* mostra_vicini(rlst); */
					} else {
						rlst->array[i].vicini = appo->next;
						/* free(appo); */
						appo = rlst->array[i].vicini;
					}
				} else /* region_id non e' region2 o regione 1 */
				{
					PRINTF("D%d \n", appo->region_id);
					old = appo;
					appo = appo->next;
				}
			}
		}
	/*  mostra_vicini(rlst); */
}

/*- end of rimuovi_tutti ----------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Assegna la probabilita' di transizione i->j    (3)                       */
/*...........................................................................*/
static void assign_prob3(int prob[], int i, int j)
/*---------------------------------------------------------------------------*/
{
	double delta_posx1, delta_posy1, delta_posx2, delta_posy2;
	double delta_momx1, delta_momy1, delta_momx2, delta_momy2;
	int delta_pix, delta_pix_max;
	double delta_pos, delta_pos_max, delta_forma_mom;
	int delta_forma1, delta_forma2, delta_forma;

	delta_posx1 =
		BIG_TO_DOUBLE(F_reference.array[i].bx) / F_reference.array[i].npix -
		F_ref_bx;
	delta_posy1 =
		BIG_TO_DOUBLE(F_reference.array[i].by) / F_reference.array[i].npix -
		F_ref_by;

	delta_posx2 =
		BIG_TO_DOUBLE(F_work.array[j].bx) / F_work.array[j].npix -
		F_wor_bx;
	delta_posy2 =
		BIG_TO_DOUBLE(F_work.array[j].by) / F_work.array[j].npix -
		F_wor_by;

	/* Cosi' calcolo il modulo della differenza */

	delta_pos =
		sqrt((delta_posx2 - delta_posx1) * (delta_posx2 - delta_posx1) +
			 (delta_posy2 - delta_posy1) * (delta_posy2 - delta_posy1));
	delta_pos_max =
		sqrt((double)(F_work.lx * F_work.lx + F_work.ly * F_work.ly));

	prob[i + j * F_reference.n] =
		ROUNDP(1000 * (1 -
					   (delta_pos / delta_pos_max)));

	delta_pix = abs(F_reference.array[i].npix - F_work.array[j].npix);
	delta_pix_max = std::max((F_work.lx * F_work.ly), (F_reference.lx * F_reference.ly));

	prob[(F_work.n * F_reference.n) + i + (j * F_reference.n)] =
		ROUNDP(1000 * (1 - ((double)delta_pix /
							(F_reference.array[i].npix + F_work.array[j].npix))));

	delta_momx1 =
		BIG_TO_DOUBLE(F_reference.array[i].bx2) / F_reference.array[i].npix -
		(BIG_TO_DOUBLE(F_reference.array[i].bx) / F_reference.array[i].npix *
		 BIG_TO_DOUBLE(F_reference.array[i].bx) / F_reference.array[i].npix);

	delta_momy1 =
		BIG_TO_DOUBLE(F_reference.array[i].by2) / F_reference.array[i].npix -
		(BIG_TO_DOUBLE(F_reference.array[i].by) / F_reference.array[i].npix *
		 BIG_TO_DOUBLE(F_reference.array[i].by) / F_reference.array[i].npix);

	delta_momx2 =
		BIG_TO_DOUBLE(F_work.array[j].bx2) / F_work.array[j].npix -
		(BIG_TO_DOUBLE(F_work.array[j].bx) / F_work.array[j].npix *
		 BIG_TO_DOUBLE(F_work.array[j].bx) / F_work.array[j].npix);
	delta_momy2 =
		BIG_TO_DOUBLE(F_work.array[j].by2) / F_work.array[j].npix -
		(BIG_TO_DOUBLE(F_work.array[j].by) / F_work.array[j].npix *
		 BIG_TO_DOUBLE(F_work.array[j].by) / F_work.array[j].npix);

	delta_forma_mom =
		abs(sqrt(delta_momx1 + delta_momy1) -
			sqrt(delta_momx2 + delta_momy2));

	delta_forma1 = ROUNDP(1000 * (((double)F_reference.array[i].per / F_reference.array[i].npix -
								   2 / sqrt((double)F_reference.array[i].npix / 3.14)) /
								  (2 - 2 / sqrt((double)F_reference.array[i].npix / 3.14))));

	delta_forma2 = ROUNDP(1000 * (((double)F_work.array[j].per / F_work.array[j].npix -
								   2 / sqrt((double)F_work.array[j].npix / 3.14)) /
								  (2 - 2 / sqrt((double)F_work.array[j].npix / 3.14))));

	delta_forma =
		ROUNDP(1000 * (1 -
					   (delta_forma_mom / delta_pos_max)));

	prob[(2 * F_work.n * F_reference.n) + i + (j * F_reference.n)] = delta_forma;

	Dx_f += ROUNDP(sqrt(delta_posx1 * delta_posx1 + delta_posy1 * delta_posy1));
	DP_f += F_reference.array[i].npix;
	Df_f += ROUNDP(sqrt(delta_momx1 * delta_momx1 + delta_momy1 * delta_momy1));

	Dx_t += ROUNDP(sqrt(delta_posx2 * delta_posx2 + delta_posy2 * delta_posy2));
	DP_t += F_work.array[j].npix;
	Df_t += ROUNDP(sqrt(delta_momx2 * delta_momx2 + delta_momy2 * delta_momy2));
}
/*- end of assign_prob ------------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Trova il colore migliore per una regione                                 */
/*...........................................................................*/
static void find_best(int prob[], int *col, int to)
/*---------------------------------------------------------------------------*/
{
	float att_max = 0.0;
	int i, j, numero;
	float color_value;

	for (i = 0; i < F_reference.n; i++) {
		color_value = 0.0;
		numero = 0;
		for (j = 0; j < F_reference.n; j++) {
			if (F_reference.array[i].color_id == F_reference.array[j].color_id) {
				color_value += (prob[to * F_reference.n + j] / 1000.0) *
							   (prob[to * F_reference.n + j] / 1000.0) *
							   /*   (prob[(F_work.n*F_reference.n)+to*F_reference.n+j]/1500.0)*
             */ (prob[2 * (F_work.n * F_reference.n) + to * F_reference.n + j] / 1500.0);
				numero++;
			}
		}
		if ((color_value / numero) > att_max) {
			att_max = color_value / numero;
			PRINTF("Nuovo Massimo %f \n", att_max);
			*col = F_reference.array[i].color_id;
		}
	}
}
/*- end of find_best --------------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  libera la memoria occupata da una lista                                  */
/*...........................................................................*/
static void free_list(struct vicine **vic)
/*---------------------------------------------------------------------------*/
{
	if (*vic != NULL) {
		free_list(&(*vic)->next);
		free(*vic);
		*vic = NULL;
	}
}
/*- end of free_list --------------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Somma il quadrato dei numeri da x a y o viceversa                        */
/*...........................................................................*/
static int somma_quadrati(int x, int y)
/*---------------------------------------------------------------------------*/
{
	int somma = 0;
	int i;

	for (i = std::min(x, y); i <= std::max(x, y); i++)
		somma += i * i;
	return somma;
}
/*- end of somma_quadrati ---------------------------------------------------*/
/*---------------------------------------------------------------------------*/

/*---------------------------------------------------------------------------*/
/*  Scegli il punto da cui proseguire l'accoppiamento                        */
/*...........................................................................*/
static int trova_migliore_padre(int prob_vector[], int *att_my)
/*---------------------------------------------------------------------------*/
{
	int att_best, att_second, att_max_diff = 0;
	int att_choice = -1, i, j, k;
	struct vicine *a1, *a2;

	PRINTF("Inizio Ricerca del Padre \n");
	for (k = 0; k < F_reference.n; k++)
		if (F_reference.array[k].match >= 0) {
			PRINTF("%d Gia' Accoppiato\n", k);
			a1 = F_reference.array[k].vicini;
			while (a1 != NULL) {
				i = a1->region_id;
				if (F_reference.array[i].match < 0) {
					PRINTF("%d vicino di %d Non Accoppiato\n", i, k);
					a2 = F_work.array[F_reference.array[k].match].vicini;
					att_best = 0;
					att_second = 0;
					while (a2 != NULL) {
						PRINTF("Coppia %d %d \n", i, j);
						j = a2->region_id;
						if (F_work.array[j].match < 0) {
							if (prob_vector[j * F_reference.n + i] *
									prob_vector[(F_work.n * F_reference.n) + j * F_reference.n + i] *
									prob_vector[2 * (F_work.n * F_reference.n) + j * F_reference.n + i] >
								att_second)
								att_second = prob_vector[j * F_reference.n + i] *
											 prob_vector[(F_work.n * F_reference.n) + j * F_reference.n + i] *
											 prob_vector[2 * (F_work.n * F_reference.n) + j * F_reference.n + i];

							if (prob_vector[j * F_reference.n + i] *
									prob_vector[(F_work.n * F_reference.n) + j * F_reference.n + i] *
									prob_vector[2 * (F_work.n * F_reference.n) + j * F_reference.n + i] >
								att_best) {
								att_second = att_best;
								att_best = prob_vector[j * F_reference.n + i] *
										   prob_vector[(F_work.n * F_reference.n) + j * F_reference.n + i] *
										   prob_vector[2 * (F_work.n * F_reference.n) + j * F_reference.n + i];
							}
						}
						a2 = a2->next;
					}
					if ((att_best - att_second) > att_max_diff) {
						att_max_diff = att_best - att_second;
						att_choice = F_reference.array[k].match;
						*att_my = i;
						PRINTF("Nuovo Coeff.: %d \n", att_max_diff);
					}
				}
				a1 = a1->next;
			}
		}
	PRINTF("Finita Ricerca del Padre \n");
	return att_choice;
}

/*---------------------------------------------------------------------------*/
static int match(int prob[], int padre, int *fro, int *to)
/*---------------------------------------------------------------------------*/
{
	int att_max = 0, i, j;
	struct vicine *a2;

	if (padre > -1) {
		a2 = F_work.array[padre].vicini;
		while (a2 != NULL) {
			j = a2->region_id;
			if ((F_work.array[j].match < 0) &&
				(prob[j * F_reference.n + (*fro)] *
					 prob[(F_work.n * F_reference.n) + j * F_reference.n + (*fro)] *
					 prob[2 * (F_work.n * F_reference.n) + j * F_reference.n + (*fro)] >
				 att_max)) {
				att_max = prob[j * F_reference.n + (*fro)] *
						  prob[(F_work.n * F_reference.n) + j * F_reference.n + (*fro)] *
						  prob[2 * (F_work.n * F_reference.n) + j * F_reference.n + (*fro)];
				*to = j;
			}
			a2 = a2->next;
		}
	} else {
		for (i = 0; i < F_reference.n; i++)
			for (j = 0; j < F_work.n; j++)
				if (
					(F_work.array[j].match < 0) &&
					(F_reference.array[i].match < 0) &&
					(F_work.array[j].npix > DIM_TRESH * F_work.lx * F_work.ly) &&
					(F_reference.array[i].npix > DIM_TRESH * F_reference.lx * F_reference.ly)) {
					if (
						prob[j * F_reference.n + i] *
							prob[(F_work.n * F_reference.n) + j * F_reference.n + i] *
							prob[2 * (F_work.n * F_reference.n) + j * F_reference.n + i] >
						att_max) {
						att_max = prob[j * F_reference.n + i] *
								  prob[(F_work.n * F_reference.n) + j * F_reference.n + i] *
								  prob[2 * (F_work.n * F_reference.n) + j * F_reference.n + i];
						*fro = i;
						*to = j;
					}
				}
	}
	return att_max;
}