sclass ParameterizedSegmenter implements IF1> { !include #1024657 // Image Segmenter Parameters // input transient BufferedImage image; // output transient BufferedImage filteredImage1; // before distanceToColor transient BufferedImage filteredImage; transient L segments; run { BufferedImage image = this.image; int w = image.getWidth(), h = image.getHeight(); filteredImage = null; if (filterLevel != 0) if (eq(filter, 'blur)) image = filteredImage = new BoxBlurFilter(filterLevel).filter(image, null); else if (eq(filter, 'min)) image = filteredImage = new MinimumFilter(filterLevel).filter(image, null); else print("Unknown filter type: " + filter); filteredImage1 = filteredImage; new AutoSegmenter as; as.g = gridSize; as.contrastThreshold = contrastThreshold; BWImage bw; if (distanceFromColor) { bw = img_distanceFromColor_withGain(image, rgbFromInts(dc_r, dc_g, dc_b), dc_gain); filteredImage = bw.getBufferedImage(); } else bw = BWImage(image); segments = as.go(bw); IntRange wr = doubleToIntRange_endPlus1(w, widthRange); IntRange hr = doubleToIntRange_endPlus1(h, heightRange); IntRange xr = doubleToIntRange_endPlus1(w, xRange); IntRange yr = doubleToIntRange_endPlus1(h, yRange); segments = filterRectsByWidthRange(segments, wr); segments = filterRectsByHeightRange(segments, hr); segments = filterRectsByCenterXRange(segments, xr); segments = filterRectsByCenterYRange(segments, yr); } public L get(BufferedImage img) { image = img; run(); ret segments; } }