float[] smooth(float[] a, int n) {
FloatProcessor fp = new FloatProcessor(n, 1);
for (int i = 0; i < n; i++) fp.setf(i, 0, a[i]);
GaussianBlur gb = new GaussianBlur();
gb.blur1Direction(fp, 2.0, 0.01, true, 0);
for (int i = 0; i < n; i++) a[i] = fp.getf(i, 0);
return a;
}
int[] smooth(int[] a, int n) {
FloatProcessor fp = new FloatProcessor(n, 1);
for (int i = 0; i < n; i++) fp.putPixelValue(i, 0, a[i]);
GaussianBlur gb = new GaussianBlur();
gb.blur1Direction(fp, 2.0, 0.01, true, 0);
for (int i = 0; i < n; i++) a[i] = (int) Math.round(fp.getPixelValue(i, 0));
return a;
}
/** Performs actual projection using specified method. */
public void doProjection() {
if (imp == null) return;
sliceCount = 0;
if (method < AVG_METHOD || method > MEDIAN_METHOD) method = AVG_METHOD;
for (int slice = startSlice; slice <= stopSlice; slice += increment) sliceCount++;
if (method == MEDIAN_METHOD) {
projImage = doMedianProjection();
return;
}
// Create new float processor for projected pixels.
FloatProcessor fp = new FloatProcessor(imp.getWidth(), imp.getHeight());
ImageStack stack = imp.getStack();
RayFunction rayFunc = getRayFunction(method, fp);
if (IJ.debugMode == true) {
IJ.log("\nProjecting stack from: " + startSlice + " to: " + stopSlice);
}
// Determine type of input image. Explicit determination of
// processor type is required for subsequent pixel
// manipulation. This approach is more efficient than the
// more general use of ImageProcessor's getPixelValue and
// putPixel methods.
int ptype;
if (stack.getProcessor(1) instanceof ByteProcessor) ptype = BYTE_TYPE;
else if (stack.getProcessor(1) instanceof ShortProcessor) ptype = SHORT_TYPE;
else if (stack.getProcessor(1) instanceof FloatProcessor) ptype = FLOAT_TYPE;
else {
IJ.error("Z Project", "Non-RGB stack required");
return;
}
// Do the projection.
for (int n = startSlice; n <= stopSlice; n += increment) {
IJ.showStatus("ZProjection " + color + ": " + n + "/" + stopSlice);
IJ.showProgress(n - startSlice, stopSlice - startSlice);
projectSlice(stack.getPixels(n), rayFunc, ptype);
}
// Finish up projection.
if (method == SUM_METHOD) {
fp.resetMinAndMax();
projImage = new ImagePlus(makeTitle(), fp);
} else if (method == SD_METHOD) {
rayFunc.postProcess();
fp.resetMinAndMax();
projImage = new ImagePlus(makeTitle(), fp);
} else {
rayFunc.postProcess();
projImage = makeOutputImage(imp, fp, ptype);
}
if (projImage == null) IJ.error("Z Project", "Error computing projection.");
}
public StandardDeviation(FloatProcessor fp, int num) {
result = (float[]) fp.getPixels();
len = result.length;
this.num = num;
sum = new double[len];
sum2 = new double[len];
}
/** Generate output image whose type is same as input image. */
private ImagePlus makeOutputImage(ImagePlus imp, FloatProcessor fp, int ptype) {
int width = imp.getWidth();
int height = imp.getHeight();
float[] pixels = (float[]) fp.getPixels();
ImageProcessor oip = null;
// Create output image consistent w/ type of input image.
int size = pixels.length;
switch (ptype) {
case BYTE_TYPE:
oip = imp.getProcessor().createProcessor(width, height);
byte[] pixels8 = (byte[]) oip.getPixels();
for (int i = 0; i < size; i++) pixels8[i] = (byte) pixels[i];
break;
case SHORT_TYPE:
oip = imp.getProcessor().createProcessor(width, height);
short[] pixels16 = (short[]) oip.getPixels();
for (int i = 0; i < size; i++) pixels16[i] = (short) pixels[i];
break;
case FLOAT_TYPE:
oip = new FloatProcessor(width, height, pixels, null);
break;
}
// Adjust for display.
// Calling this on non-ByteProcessors ensures image
// processor is set up to correctly display image.
oip.resetMinAndMax();
// Create new image plus object. Don't use
// ImagePlus.createImagePlus here because there may be
// attributes of input image that are not appropriate for
// projection.
return new ImagePlus(makeTitle(), oip);
}
public void run(String arg) {
ImagePlus imp = WindowManager.getCurrentImage();
Calibration cal = imp.getCalibration();
GenericDialog gd = new GenericDialog("Options");
int subsize = 32;
gd.addNumericField("Subregion Size (pixels)?", subsize, 0);
int stepsize = 16;
gd.addNumericField("Step Size?", stepsize, 0);
int shift = 3;
gd.addNumericField("STICS temporal Shift?", shift, 0);
float xoffset = 0.0f;
gd.addNumericField("X_Offset", xoffset, 5, 15, null);
float yoffset = 0.0f;
gd.addNumericField("Y_Offset", yoffset, 5, 15, null);
float multiplier = 8.0f;
gd.addNumericField("Velocity Multiplier", multiplier, 5, 15, null);
float ftime = 1.0f;
gd.addNumericField("Frame_Time(min)", ftime, 5, 15, null);
float scaling = (float) cal.pixelWidth;
gd.addNumericField("Pixel_Size(um)", scaling, 5, 15, null);
boolean norm = true;
gd.addCheckbox("Normalize_Vector_lengths?", norm);
boolean centered = true;
gd.addCheckbox("Center_Vectors?", centered);
float magthresh = 0.0f;
gd.addNumericField("Magnitude_Threshhold?", magthresh, 5, 15, null);
int rlength = 10;
gd.addNumericField("Running_avg_length", rlength, 0);
int inc = 5;
gd.addNumericField("Start_frame_increment", inc, 0);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
subsize = (int) gd.getNextNumber();
stepsize = (int) gd.getNextNumber();
shift = (int) gd.getNextNumber();
xoffset = (float) gd.getNextNumber();
yoffset = (float) gd.getNextNumber();
multiplier = (float) gd.getNextNumber();
ftime = (float) gd.getNextNumber();
scaling = (float) gd.getNextNumber();
norm = gd.getNextBoolean();
centered = gd.getNextBoolean();
magthresh = (float) gd.getNextNumber();
rlength = (int) gd.getNextNumber();
inc = (int) gd.getNextNumber();
int width = imp.getWidth();
int xregions = 1 + (int) (((float) width - (float) subsize) / (float) stepsize);
int newwidth = xregions * subsize;
int height = imp.getHeight();
int yregions = 1 + (int) (((float) height - (float) subsize) / (float) stepsize);
int newheight = yregions * subsize;
ImageStack stack = imp.getStack();
int slices = imp.getNSlices();
int channels = imp.getNChannels();
int frames = imp.getNFrames();
if (frames == 1) {
frames = slices;
slices = 1;
}
Roi roi = imp.getRoi();
if (roi == null) {
roi = new Roi(0, 0, width, height);
}
STICS_map map = new STICS_map(subsize, stepsize);
Object[] tseries = jutils.get3DTSeries(stack, 0, 0, frames, slices, channels);
map.update_STICS_map(tseries, width, height, 0, rlength, roi.getPolygon(), shift);
FloatProcessor fp =
map.get_map(scaling, ftime, stepsize, centered, norm, multiplier, stepsize, magthresh);
ImageStack vector_stack = new ImageStack(fp.getWidth(), fp.getHeight());
vector_stack.addSlice("", fp);
float[][] vel = map.get_scaled_velocities(scaling, ftime, stepsize);
ImageStack velstack = new ImageStack(map.xregions, map.yregions);
velstack.addSlice("", vel[0]);
velstack.addSlice("", vel[1]);
int velframes = 2;
IJ.showStatus("frame " + 0 + " calculated");
for (int i = inc; i < (frames - rlength); i += inc) {
map.update_STICS_map(tseries, width, height, i, rlength, roi.getPolygon(), shift);
FloatProcessor fp2 =
map.get_map(scaling, ftime, stepsize, centered, norm, multiplier, stepsize, magthresh);
vector_stack.addSlice("", fp2);
vel = map.get_scaled_velocities(scaling, ftime, stepsize);
velstack.addSlice("", vel[0]);
velstack.addSlice("", vel[1]);
velframes += 2;
IJ.showStatus("frame " + i + " calculated");
}
(new ImagePlus("STICS Vectors", vector_stack)).show();
ImagePlus imp3 = new ImagePlus("Velocities", velstack);
imp3.setOpenAsHyperStack(true);
imp3.setDimensions(2, 1, velframes / 2);
new CompositeImage(imp3, CompositeImage.COLOR).show();
}
/** Simple constructor since no preprocessing is necessary. */
public MinIntensity(FloatProcessor fp) {
fpixels = (float[]) fp.getPixels();
len = fpixels.length;
for (int i = 0; i < len; i++) fpixels[i] = Float.MAX_VALUE;
}
/**
* Constructor requires number of slices to be projected. This is used to determine average at
* each pixel.
*/
public AverageIntensity(FloatProcessor fp, int num) {
fpixels = (float[]) fp.getPixels();
len = fpixels.length;
this.num = num;
}
