private synchronized void setLevel(int level) {
// System.out.println("level "+level);
if (level > 0) {
ImageSingleBand small = ss.getLayer(level - 1);
ImageSingleBand enlarge =
GeneralizedImageOps.createSingleBand(
small.getClass(), ss.getInputWidth(), ss.getInputHeight());
DistortImageOps.scale(small, enlarge, TypeInterpolate.NEAREST_NEIGHBOR);
// if the size isn't the same null it so a new image will be declared
if (levelImage != null
&& (levelImage.getWidth() != enlarge.width || levelImage.getHeight() != enlarge.height)) {
levelImage = null;
}
levelImage = ConvertBufferedImage.convertTo(enlarge, levelImage);
double scale = ss.getScale(level - 1);
levelPoints.clear();
for (ScalePoint p : points) {
if (p.scale == scale) {
levelPoints.add(p);
}
}
} else {
levelPoints.clear();
levelPoints.addAll(points);
}
this.activeLevel = level;
}
public static BufferedImage standard(ImageSingleBand<?> src, BufferedImage dst) {
if (src.getDataType().isInteger()) {
ImageInteger srcInt = (ImageInteger) src;
if (src.getDataType().isSigned()) {
double max = GImageStatistics.maxAbs(srcInt);
return colorizeSign(srcInt, dst, (int) max);
} else {
if (src.getDataType().getNumBits() == 8) {
dst = ConvertBufferedImage.convertTo((ImageUInt8) src, dst);
} else {
double max = GImageStatistics.maxAbs(srcInt);
dst = grayUnsigned(srcInt, dst, (int) max);
}
}
} else if (ImageFloat32.class.isAssignableFrom(src.getClass())) {
ImageFloat32 img = (ImageFloat32) src;
float max = ImageStatistics.maxAbs(img);
boolean hasNegative = false;
for (int i = 0; i < img.getHeight(); i++) {
for (int j = 0; j < img.getWidth(); j++) {
if (img.get(j, i) < 0) {
hasNegative = true;
break;
}
}
}
if (hasNegative) return colorizeSign(img, dst, (int) max);
else return grayMagnitude((ImageFloat32) src, dst, max);
}
return dst;
}
public void process(BufferedImage image) {
setInputImage(image);
T gray = ConvertBufferedImage.convertFromSingle(image, null, imageType);
ss.setImage(gray);
gui.reset();
for (int i = 0; i < ss.getTotalScales(); i++) {
ss.setActiveScale(i);
double scale = ss.getCurrentScale();
T scaledImage = ss.getScaledImage();
BufferedImage b = ConvertBufferedImage.convertTo(scaledImage, null);
gui.addImage(b, String.format("Scale %6.2f", scale));
}
processedImage = true;
}
/**
* Renders a colored image where the color indicates the sign and intensity its magnitude. The
* input is divided by normalize to render it in the appropriate scale.
*
* @param src Input single band image.
* @param dst Where the image is rendered into. If null a new BufferedImage will be created and
* return.
* @param normalize Used to normalize the input image. If <= 0 then the max value will be used
* @return Rendered image.
*/
public static BufferedImage colorizeSign(
ImageSingleBand src, BufferedImage dst, double normalize) {
dst = checkInputs(src, dst);
if (normalize <= 0) {
normalize = GImageStatistics.maxAbs(src);
}
if (normalize == 0) {
// sets the output to black
ConvertBufferedImage.convertTo(src, dst, true);
return dst;
}
if (src.getClass().isAssignableFrom(ImageFloat32.class)) {
return colorizeSign((ImageFloat32) src, dst, (float) normalize);
} else {
return colorizeSign((ImageInteger) src, dst, (int) normalize);
}
}
public static void main(String[] args) throws IOException {
if (args.length == 0) {
System.out.println(
"usage: crop-objects [OPTION]... FILE [DIR]\n"
+ "crops detected objects from image FILE and writes their subimages to files. \n"
+ "Can specify the DIR in which to create the files, otherwise subimage files are "
+ "created in the same directory as FILE is in by default. \n"
+ "-t [n] [m] set the high and low threshold values. n and m are values between 0 and 1.");
System.exit(1);
}
// interpret options and read arguments
if (args[0].equals("-t")) {
threshLow = Float.parseFloat(args[1]);
threshHigh = Float.parseFloat(args[2]);
filename = args[3];
if (args.length == 5) {
dir = args[4];
}
} else {
filename = args[0];
if (args.length == 2) {
dir = args[1];
}
}
// get path to directory file is in
String name = FilenameUtils.removeExtension(filename);
// get image
BufferedImage image = UtilImageIO.loadImage(new File(filename).getAbsolutePath());
if (image == null) {
System.out.println(
"usage: crop-objects [OPTION]... FILE [DIR]\n"
+ "crops detected objects from image FILE and writes their subimages to files. \n"
+ "Can specify the DIR in which to create the files, otherwise subimage files are "
+ "created in the same directory as FILE is in by default. \n"
+ "-t [n] [m] set the high and low threshold values. n and m are values between 0 and 1.");
System.exit(1);
}
minsize = (int) (0.1 * Math.min(image.getHeight(), image.getWidth()));
// find objects in image
// generate candidate contours
ArrayList<List<PointIndex_I32>> objects = new ArrayList<List<PointIndex_I32>>();
List<BufferedImage> results = new ArrayList<BufferedImage>();
List<List<PointIndex_I32>> candidates = new ArrayList<List<PointIndex_I32>>();
ImageFloat32 input = ConvertBufferedImage.convertFromSingle(image, null, ImageFloat32.class);
BufferedImage bw =
ConvertBufferedImage.convertTo(
input, new BufferedImage(image.getWidth(), image.getHeight(), image.getType()));
File binaryfile = new File(name + "_" + "binary.png");
ImageIO.write(bw, "png", binaryfile);
ImageUInt8 binary = new ImageUInt8(input.width, input.height);
// Finds edges inside the image
CannyEdge<ImageFloat32, ImageFloat32> canny =
FactoryEdgeDetectors.canny(
blurRadius, true, dynamicThreshold, ImageFloat32.class, ImageFloat32.class);
canny.process(input, threshLow, threshHigh, binary);
List<Contour> contours = BinaryImageOps.contour(binary, rule, null);
BufferedImage visualBinary = VisualizeBinaryData.renderBinary(binary, null);
File cannyfile = new File(name + "_" + "canny.png");
ImageIO.write(visualBinary, "png", cannyfile);
BufferedImage cannyContour =
VisualizeBinaryData.renderExternal(contours, null, binary.width, binary.height, null);
File cannyContourfile = new File(name + "_" + "contour.png");
ImageIO.write(cannyContour, "png", cannyContourfile);
for (Contour c : contours) {
// Only the external contours are relevant.
List<PointIndex_I32> vertices =
ShapeFittingOps.fitPolygon(c.external, true, toleranceDist, toleranceAngle, 100);
candidates.add(vertices);
}
for (List<PointIndex_I32> vertices : candidates) {
try {
Candidate c = new Candidate(vertices, image);
if (c.size(minsize)) {
c.rotate();
results.add(c.getImage());
objects.add(vertices);
}
} catch (Exception e) {
System.out.println("Error creating candidate from contour " + e.getMessage());
}
}
// write subimages of objects to files
int i = 0;
for (BufferedImage obj : results) {
// print images to file
try {
File outputfile = new File(name + "_" + i + ".png");
i++;
ImageIO.write(obj, "png", outputfile);
} catch (IOException e) {
System.out.println("Error writing subimages" + e.getMessage());
}
}
// draw objects onto original image and save
Draw.drawPolygons(objects, image);
File outputfile = new File(name + "_" + "annotated.png");
ImageIO.write(image, "png", outputfile);
}
