import ij.plugin.filter.ParticleAnalyzer; //导入依赖的package包/类
/**
 * Identify regions in a binary image likely to correspond to complete TMA cores,
 * based both on size and circularity.
 * @param bp - The binary image to process; 0 should be background, 255 foreground
 * @param minArea - Minimum area of a region to keep (in pixels)
 * @param maxArea - Maximum area of a region to keep (in pixels)
 * @param minCircularity - Minimum circularity of a region to keep.
 * @param labelCores - TRUE if the output should be a labelled image (unique integer value per core), otherwise a binary image will be returned
 * @param polyCentroids - A Polygon to which the centroids of the detected regions will be added (if not null).
 * @return Binary or labelled image showing containing only the regions of bp with shapes & sizes corresponding to likely complete TMA cores.
 */	
private static ImageProcessor identifyGoodCores(ByteProcessor bp, double minArea, double maxArea, double minCircularity, boolean labelCores, Polygon polyCentroids) {
	// Create a binary image of only the roundest structures of approximately the correct area
	bp.setThreshold(127, 512, ImageProcessor.NO_LUT_UPDATE);
	int options = labelCores ? ParticleAnalyzer.SHOW_ROI_MASKS : ParticleAnalyzer.SHOW_MASKS;
	int measurements = Measurements.CENTROID;
	ResultsTable rt = new ResultsTable();
	ParticleAnalyzer pa = new ParticleAnalyzer(options, measurements, rt, minArea, maxArea, minCircularity, 1.0);
	pa.setHideOutputImage(true);
	pa.analyze(new ImagePlus("Temp", bp), bp);
	if (polyCentroids != null) {
		for (int i = 0; i < rt.getCounter(); i++) {
			int x = (int)(rt.getValueAsDouble(ResultsTable.X_CENTROID, i) + .5);
			int y = (int)(rt.getValueAsDouble(ResultsTable.Y_CENTROID, i) + .5);
			polyCentroids.addPoint(x, y);
		}
	}
	return pa.getOutputImage().getProcessor();
}
 

import ij.plugin.filter.ParticleAnalyzer; //导入依赖的package包/类
/**
 * Lista partículas encontradas na imagem de acordo com o template de particulas informado
 * 
 * @param imp
 * @param options
 * @param medidas
 * @param parameterObject
 *          TODO
 * @return
 */
protected List<ParticleVO> findParticles(ImageDocVO data, int options, int medidas, ParticleAnalyzerParamDTO analyzerParams) {
	// int measurements=0;
	ResultsTable rt = new ResultsTable();

	double minArea = analyzerParams.getMinArea(data.getImgArea());
	double maxArea = analyzerParams.getMaxArea(data.getImgArea());
	double minCirc = analyzerParams.getMinCirc();

	ParticleAnalyzer jpa = new ParticleAnalyzer(options, medidas, rt, minArea, maxArea, minCirc, JazzOMRImageParser.MAX_CIRCULARITY);

	// executa analise
	jpa.analyze(data.getImagePlus());

	// itera resultados e preenche VOs
	List<ParticleVO> particles = fillParticleVOs(data, rt);

	return particles;
}
 

import ij.plugin.filter.ParticleAnalyzer; //导入依赖的package包/类
/**
 * Lista partículas encontradas na imagem de acordo com o template de particulas informado
 * 
 * @param imp
 * @param options
 * @param medidas
 * @param parameterObject
 *          TODO
 * @return Measurements.SHAPE_DESCRIPTORS + Measurements.CENTER_OF_MASS + Measurements.AREA + Measurements.PERIMETER + Measurements.CENTROID;
 */
private List<ParticleVO> findParticles(ImageDocVO data, int options, int medidas, ParticleAnalyzerParamDTO analyzerParams) {
	// int measurements=0;
	ResultsTable rt = new ResultsTable();

	double minArea = analyzerParams.getMinArea(data.getImgArea());
	double maxArea = analyzerParams.getMaxArea(data.getImgArea());
	double minCirc = analyzerParams.getMinCirc();

	ParticleAnalyzer jpa = new ParticleAnalyzer(options, medidas, rt, minArea, maxArea, minCirc, JazzOMRImageParser.MAX_CIRCULARITY);

	// executa analise
	jpa.analyze(data.getImagePlus());

	// itera resultados e preenche VOs
	List<ParticleVO> particles = fillParticleVOs(data, rt);

	return particles;
}
 

import ij.plugin.filter.ParticleAnalyzer; //导入依赖的package包/类
/**
 * Realiza uma analise de particulas na imagem do bullet. Estes resultados serao analizados juntamente com as outras imagens de bullets de alternativas. 
 * @param bi
 * @return
 */
protected ResultsTable particleAnaylis(BufferedImage bi) {

	// wrapper de imagem do ImageJ para analise
	ImagePlus ip = new ImagePlus("bullet", bi);

	// prepara imagem para analise
	contrastImageThresholds(ip, JazzOMRImageParser.THRESHOLD_HUANG);

	// cria tabela de resultados
	ResultsTable rt = new ResultsTable();

	// determina parametros de analise
	double area = bi.getHeight() * bi.getWidth();
	double minArea = area * bulletMinAreaFactor;
	double maxArea = area * bulletMaxAreaFactor;

	/*
	private double bulletMinAreaFactor = 0.10;
	private double bulletMaxAreaFactor = 0.95;
	private double bulletMinCirc = 0.30;
	*/
	// cria analizador de particulas para bullets
	ParticleAnalyzer jpa = new ParticleAnalyzer(0, Measurements.AREA+Measurements.CIRCULARITY, rt, minArea, maxArea, bulletMinCirc, JazzOMRImageParser.MAX_CIRCULARITY);

	// executa analise
	jpa.analyze(ip);

	// testa se foram encotradas particulas
	//boolean checked = rt.getCounter() > 0;
	
	//imageDocLogger.logBullet(checked,bi,rt);
	//if(log.isDebugEnabled()){
	//}
	
	return rt;

}
 

import ij.plugin.filter.ParticleAnalyzer; //导入依赖的package包/类
/**
 * Realiza uma analise de particulas na imagem do bullet. Estes resultados serao analizados juntamente com as outras imagens de bullets de alternativas.
 * 
 * @param bi
 * @return
 */
private ResultsTable particleAnaylis(BufferedImage bi) {

	// wrapper de imagem do ImageJ para analise
	ImagePlus ip = new ImagePlus("bullet", bi);

	// prepara imagem para analise
	contrastImageThresholds(ip, JazzOMRImageParser.THRESHOLD_HUANG);

	// cria tabela de resultados
	ResultsTable rt = new ResultsTable();

	// determina parametros de analise
	double area = bi.getHeight() * bi.getWidth();
	double minArea = area * bulletMinAreaFactor;
	double maxArea = area * bulletMaxAreaFactor;

	/*
	 * private double bulletMinAreaFactor = 0.10; private double bulletMaxAreaFactor = 0.95; private double bulletMinCirc = 0.30;
	 */
	// cria analizador de particulas para bullets
	ParticleAnalyzer jpa = new ParticleAnalyzer(0, Measurements.AREA + Measurements.CIRCULARITY, rt, minArea, maxArea, bulletMinCirc, JazzOMRImageParser.MAX_CIRCULARITY);

	// executa analise
	jpa.analyze(ip);

	// testa se foram encotradas particulas
	boolean checked = rt.getCounter() > 0;

	if (log.isDebugEnabled()) {
		imageDocLogger.logBullet(checked, bi, rt);
	}

	return rt;

}
 

import ij.plugin.filter.ParticleAnalyzer; //导入依赖的package包/类
public void run(ImageProcessor inputIp)
{
	// Just run the particle analyser
	noOfParticles = 0;

	// Avoid destructively modifying the image. Work on the selected channel for thresholding
	int index = imp.getStackIndex(thresholdChannel, imp.getSlice(), imp.getFrame());
	ImageProcessor ip = imp.getImageStack().getProcessor(index).duplicate();

	if (!checkData(ip))
	{
		IJ.error(TITLE, "Channel has no data range");
		resetImage();
		return;
	}

	if (containsRoiMask && maskOption == 1)
	{
		ip = maskIp.duplicate();
		ip.setThreshold(254, 255, ImageProcessor.NO_LUT_UPDATE);
	}
	else
	{
		// Blur the image
		if (blur > 0)
		{
			GaussianBlur gb = new GaussianBlur();
			gb.blurGaussian(ip, blur, blur, 0.002);
		}

		// Threshold
		int t = AutoThreshold.getThreshold(thresholdMethod, ip.getHistogram());
		ip.setThreshold(t, 65536, ImageProcessor.NO_LUT_UPDATE);
	}

	// Analyse particles
	ImagePlus particlesImp = new ImagePlus(imp.getTitle() + " Particles", ip);
	int analyserOptions = ParticleAnalyzer.SHOW_ROI_MASKS + ParticleAnalyzer.IN_SITU_SHOW +
			ParticleAnalyzer.EXCLUDE_EDGE_PARTICLES;
	int measurements = 0;
	ResultsTable rt = new ResultsTable();

	double maxSize = Double.POSITIVE_INFINITY;
	ParticleAnalyzer pa = new ParticleAnalyzer(analyserOptions, measurements, rt, minSize, maxSize);
	pa.analyze(particlesImp, ip);

	ImageProcessor particlesIp = particlesImp.getProcessor();
	noOfParticles = rt.getCounter();
	if (label != null)
		label.setText(String.format("%d particle%s", noOfParticles, (noOfParticles == 1) ? "" : "s"));

	// Show the particles
	inputIp.copyBits(particlesIp, 0, 0, Blitter.COPY);
	inputIp.setMinAndMax(0, noOfParticles);
	imp.updateAndDraw();
}