docs: public static List<double[]> independentHueSat( List<File> images  ) {
  		List<double[]> points = new ArrayList<>();
  
  		// The number of bins is an important parameter.  Try adjusting it
  		TupleDesc_F64 histogramHue = new TupleDesc_F64(30);
  		TupleDesc_F64 histogramValue = new TupleDesc_F64(30);
  
  		List<TupleDesc_F64> histogramList = new ArrayList<>();
  		histogramList.add(histogramHue); histogramList.add(histogramValue);
  
  		Planar<GrayF32> rgb = new Planar<>(GrayF32.class,1,1,3);
  		Planar<GrayF32> hsv = new Planar<>(GrayF32.class,1,1,3);
  
  		for( File f : images ) {
  			BufferedImage buffered = UtilImageIO.loadImage(f.getPath());
  			if( buffered == null ) throw new RuntimeException("Can't load image!");
  
  			rgb.reshape(buffered.getWidth(), buffered.getHeight());
  			hsv.reshape(buffered.getWidth(), buffered.getHeight());
  			ConvertBufferedImage.convertFrom(buffered, rgb, true);
  			ColorHsv.rgbToHsv(rgb, hsv);
  
  			GHistogramFeatureOps.histogram(hsv.getBand(0), 0, 2*Math.PI,histogramHue);
  			GHistogramFeatureOps.histogram(hsv.getBand(1), 0, 1, histogramValue);
  
  			// need to combine them into a single descriptor for processing later on
  			TupleDesc_F64 imageHist = UtilFeature.combine(histogramList,null);
  
  			UtilFeature.normalizeL2(imageHist); // normalize so that image size doesn't matter
  
  			points.add(imageHist.value);
  		}
  
  		return points;
  	}