Bug fixes/improvements in "Calculate grids"

			0.4, // corrRingWidth - ring (around r=0.5 dist to opposite corr) width , center circle r=0.5*PATTERN_DETECT.corrRingWidth

			5.0, // minCorrContrast -  discrimination threshold between good and bad pattern correlation

			0.0, // minGridPeriod

			0.0  // maxGridPeriod

			0.0,  // maxGridPeriod

			0.0, // debugX+"");

		    0.0, //	debugY+"");

			-1.0 // this.debugRadius+"");

	);

		  1.5, // 2.5, //6.0, // 2.0, // 0.0, // correlationHighPassSigma, - pixels in frequency domain

		  0.6, //2.0, //0.5, //0.0, //  correlationLowPassSigma, - fraction of the frequency range

		  0.4,  // correlationRingWidth- ring (around r=0.5 dist to opposite corr) width , center circle r=0.5*PATTERN_DETECT.corrRingWidth

		  3.0, //  correlationMaxOffset,     // maximal distance between predicted and actual pattern node

		  2.0, // increase back to .5? was needed with fisheye. 5.0, //	double correlationMinContrast,   // minimal contrast for the pattern to pass

		  2.5, // correlationMinInitialContrast,   // minimal contrast for the pattern of the center (initial point)

		  8.0, // 3.0, //  correlationMaxOffset,     // maximal distance between predicted and actual pattern node

		  1.0, // 2.0, // increase back to .5? was needed with fisheye. 5.0, //	double correlationMinContrast,   // minimal contrast for the pattern to pass

		  1.5, // 2.5, // correlationMinInitialContrast,   // minimal contrast for the pattern of the center (initial point)

		  0.8, //	scaleFirstPassContrast, // Decrease contrast of cells that are too close to the border to be processed in rifinement pass

		  0.1, // contrastSelectSigma, // Gaussian sigma to select correlation centers (fraction of UV period), 0.1

		  0.5, //contrastAverageSigma, // Gaussian sigma to average correlation variations (as contrast reference) 0.5

		  150,  // minimalPatternCluster minimal pattern cluster size (0 - disable retries)

		  2.0, // scaleMinimalInitialContrast increase/decrease minimal contrast if initial cluster is >0 but less than minimalPatternCluster

		  0.5, //  when searching for grid, step this amount of the FFTSize

					WVgreens=matrix2x2_mul(patternMap[nTileY][nTileX],invConvMatrix);

					contrast= matchSimulatedPattern.correlationContrast (model_corr,    // square pixel array

							WVgreens,    // wave vectors (same units as the pixels array)

							patternDetectParameters.corrRingWidth,   // ring (around r=0.5 dist to opposite corr) width

//							patternDetectParameters.corrRingWidth,   // ring (around r=0.5 dist to opposite corr) width

							0.1, // contrastSelectSigma

							0.5, // contrastAverageSigma

							0.0,    //  x0,              // center coordinates

							0.0,    //y0,

							title);   // title base for optional plots names

		gd.addNumericField("Minimal pattern correlation contrast" ,                       patternDetectParameters.minCorrContrast, 3);   //5.0; // Discrimination threshold between good and bad pattern correleation

		gd.addNumericField("Minimal pattern grid period (<=0.0 - do not check)" ,         patternDetectParameters.minGridPeriod, 2,5,"pix");

		gd.addNumericField("Maximal pattern grid period (<=0.0 - do not check)" ,         patternDetectParameters.maxGridPeriod, 2,5,"pix");

		//			0.0, // minGridPeriod

//		0.0  // maxGridPeriod

		gd.addMessage("----- debug -----");

		gd.addNumericField("Debug grid near pixel X" ,                                    patternDetectParameters.debugX, 1,6,"pix");

		gd.addNumericField("Debug grid near pixel X" ,                                    patternDetectParameters.debugY, 1,6,"pix");

		gd.addNumericField("Debug grid nodes at this distance of (x,Y) - <0 - no debug",  patternDetectParameters.debugRadius, 1,5,"pix");

		gd.showDialog();

		if (gd.wasCanceled()) return false;

		patternDetectParameters.minCorrContrast=          gd.getNextNumber();

		patternDetectParameters.minGridPeriod=            gd.getNextNumber();

		patternDetectParameters.maxGridPeriod=            gd.getNextNumber();

		patternDetectParameters.debugX=                   gd.getNextNumber();

		patternDetectParameters.debugY=                   gd.getNextNumber();

		patternDetectParameters.debugRadius=              gd.getNextNumber();

		return true;

	}

	public boolean showPatternMinMaxPeriodDialog(MatchSimulatedPattern.PatternDetectParameters patternDetectParameters) {

			gd.addNumericField("Correlation minimal contrast:",         distortionParameters.correlationMinContrast, 3);

			gd.addNumericField("Correlation minimal contrast for initial search:", distortionParameters.correlationMinInitialContrast, 3);

			gd.addNumericField("Decrease contrast of cells that are too close to the border to be processed in rifinement pass", distortionParameters.scaleFirstPassContrast, 3);

			gd.addNumericField("Gaussian sigma to select correlation centers (fraction of UV period), 0.1", distortionParameters.contrastSelectSigma, 3);

			gd.addNumericField("Gaussian sigma to average correlation variations (as contrast reference), 0.5", distortionParameters.contrastAverageSigma, 3);

			gd.addNumericField("Minimal initial pattern cluster size (0 - disable retries)", distortionParameters.minimalPatternCluster, 0);

			gd.addNumericField("Scale minimal contrast if the initial cluster is nonzero but smaller", distortionParameters.scaleMinimalInitialContrast, 3);

			gd.addNumericField("Overlap of FFT areas when searching for pattern", distortionParameters.searchOverlap, 3);

			distortionParameters.correlationMinContrast=  gd.getNextNumber();

			distortionParameters.correlationMinInitialContrast=  gd.getNextNumber();

			distortionParameters.scaleFirstPassContrast=  gd.getNextNumber();

			distortionParameters.contrastSelectSigma=  gd.getNextNumber();

			distortionParameters.contrastAverageSigma=  gd.getNextNumber();

			distortionParameters.minimalPatternCluster=(int) gd.getNextNumber();

			distortionParameters.scaleMinimalInitialContrast=gd.getNextNumber();

			distortionParameters.searchOverlap=           gd.getNextNumber();