void createMask(ImagePlus imp) {
Roi roi = imp.getRoi();
boolean useInvertingLut = Prefs.useInvertingLut;
Prefs.useInvertingLut = false;
if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT)) {
createMaskFromThreshold(imp);
Prefs.useInvertingLut = useInvertingLut;
return;
}
ImagePlus maskImp = null;
Frame frame = WindowManager.getFrame("Mask");
if (frame != null && (frame instanceof ImageWindow))
maskImp = ((ImageWindow) frame).getImagePlus();
if (maskImp == null) {
ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
if (!Prefs.blackBackground) ip.invertLut();
maskImp = new ImagePlus("Mask", ip);
maskImp.show();
}
ImageProcessor ip = maskImp.getProcessor();
ip.setRoi(roi);
ip.setValue(255);
ip.fill(ip.getMask());
maskImp.updateAndDraw();
Prefs.useInvertingLut = useInvertingLut;
}
void createEllipse(ImagePlus imp) {
IJ.showStatus("Fitting ellipse");
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Fit Ellipse");
return;
}
if (roi.isLine()) {
IJ.error("Fit Ellipse", "\"Fit Ellipse\" does not work with line selections");
return;
}
ImageProcessor ip = imp.getProcessor();
ip.setRoi(roi);
int options = Measurements.CENTROID + Measurements.ELLIPSE;
ImageStatistics stats = ImageStatistics.getStatistics(ip, options, null);
double dx = stats.major * Math.cos(stats.angle / 180.0 * Math.PI) / 2.0;
double dy = -stats.major * Math.sin(stats.angle / 180.0 * Math.PI) / 2.0;
double x1 = stats.xCentroid - dx;
double x2 = stats.xCentroid + dx;
double y1 = stats.yCentroid - dy;
double y2 = stats.yCentroid + dy;
double aspectRatio = stats.minor / stats.major;
imp.killRoi();
imp.setRoi(new EllipseRoi(x1, y1, x2, y2, aspectRatio));
}
boolean eraseOutsideRoi(ImageProcessor ip, Rectangle r, ImageProcessor mask) {
int width = ip.getWidth();
int height = ip.getHeight();
ip.setRoi(r);
if (excludeEdgeParticles && polygon != null) {
ImageStatistics stats = ImageStatistics.getStatistics(ip, MIN_MAX, null);
if (fillColor >= stats.min && fillColor <= stats.max) {
double replaceColor = level1 - 1.0;
if (replaceColor < 0.0 || replaceColor == fillColor) {
replaceColor = level2 + 1.0;
int maxColor = imageType == BYTE ? 255 : 65535;
if (replaceColor > maxColor || replaceColor == fillColor) {
IJ.error("Particle Analyzer", "Unable to remove edge particles");
return false;
}
}
for (int y = minY; y < maxY; y++) {
for (int x = minX; x < maxX; x++) {
int v = ip.getPixel(x, y);
if (v == fillColor) ip.putPixel(x, y, (int) replaceColor);
}
}
}
}
ip.setValue(fillColor);
if (mask != null) {
mask = mask.duplicate();
mask.invert();
ip.fill(mask);
}
ip.setRoi(0, 0, r.x, height);
ip.fill();
ip.setRoi(r.x, 0, r.width, r.y);
ip.fill();
ip.setRoi(r.x, r.y + r.height, r.width, height - (r.y + r.height));
ip.fill();
ip.setRoi(r.x + r.width, 0, width - (r.x + r.width), height);
ip.fill();
ip.resetRoi();
// IJ.log("erase: "+fillColor+" "+level1+" "+level2+" "+excludeEdgeParticles);
// (new ImagePlus("ip2", ip.duplicate())).show();
return true;
}
void createNewStack(ImagePlus imp, ImageProcessor ip) {
int nSlices = imp.getStackSize();
int w = imp.getWidth(), h = imp.getHeight();
ImagePlus imp2 = imp.createImagePlus();
Rectangle r = ip.getRoi();
boolean crop = r.width != imp.getWidth() || r.height != imp.getHeight();
ImageStack stack1 = imp.getStack();
ImageStack stack2 = new ImageStack(newWidth, newHeight);
ImageProcessor ip1, ip2;
int method = interpolationMethod;
if (w == 1 || h == 1) method = ImageProcessor.NONE;
for (int i = 1; i <= nSlices; i++) {
IJ.showStatus("Scale: " + i + "/" + nSlices);
ip1 = stack1.getProcessor(i);
String label = stack1.getSliceLabel(i);
if (crop) {
ip1.setRoi(r);
ip1 = ip1.crop();
}
ip1.setInterpolationMethod(method);
ip2 = ip1.resize(newWidth, newHeight, averageWhenDownsizing);
if (ip2 != null) stack2.addSlice(label, ip2);
IJ.showProgress(i, nSlices);
}
imp2.setStack(title, stack2);
Calibration cal = imp2.getCalibration();
if (cal.scaled()) {
cal.pixelWidth *= 1.0 / xscale;
cal.pixelHeight *= 1.0 / yscale;
}
IJ.showProgress(1.0);
int[] dim = imp.getDimensions();
imp2.setDimensions(dim[2], dim[3], dim[4]);
if (imp.isComposite()) {
imp2 = new CompositeImage(imp2, ((CompositeImage) imp).getMode());
((CompositeImage) imp2).copyLuts(imp);
}
if (imp.isHyperStack()) imp2.setOpenAsHyperStack(true);
if (newDepth > 0 && newDepth != oldDepth)
imp2 = (new Resizer()).zScale(imp2, newDepth, interpolationMethod);
if (imp2 != null) {
imp2.show();
imp2.changes = true;
}
}
private String addMean(int column, String line, int start) {
if (start == -1) {
line += "\tNaN";
summaryHdr += "\t" + ResultsTable.getDefaultHeading(column);
} else {
float[] c = column >= 0 ? rt.getColumn(column) : null;
if (c != null) {
ImageProcessor ip = new FloatProcessor(c.length, 1, c, null);
if (ip == null) return line;
ip.setRoi(start, 0, ip.getWidth() - start, 1);
ip = ip.crop();
ImageStatistics stats = new FloatStatistics(ip);
if (stats == null) return line;
line += n(stats.mean);
} else line += "\tNaN";
summaryHdr += "\t" + rt.getColumnHeading(column);
}
return line;
}
void createNewStack(ImagePlus imp, ImageProcessor ip) {
Rectangle r = ip.getRoi();
boolean crop = r.width != imp.getWidth() || r.height != imp.getHeight();
int nSlices = imp.getStackSize();
ImageStack stack1 = imp.getStack();
ImageStack stack2 = new ImageStack(newWidth, newHeight);
ImageProcessor ip1, ip2;
boolean interp = interpolate;
if (imp.getWidth() == 1 || imp.getHeight() == 1) interp = false;
for (int i = 1; i <= nSlices; i++) {
IJ.showStatus("Scale: " + i + "/" + nSlices);
ip1 = stack1.getProcessor(i);
String label = stack1.getSliceLabel(i);
if (crop) {
ip1.setRoi(r);
ip1 = ip1.crop();
}
ip1.setInterpolate(interp);
ip2 = ip1.resize(newWidth, newHeight);
if (ip2 != null) stack2.addSlice(label, ip2);
IJ.showProgress(i, nSlices);
}
ImagePlus imp2 = imp.createImagePlus();
imp2.setStack(title, stack2);
Calibration cal = imp2.getCalibration();
if (cal.scaled()) {
cal.pixelWidth *= 1.0 / xscale;
cal.pixelHeight *= 1.0 / yscale;
}
int[] dim = imp.getDimensions();
imp2.setDimensions(dim[2], dim[3], dim[4]);
IJ.showProgress(1.0);
if (imp.isComposite()) {
imp2 = new CompositeImage(imp2, 0);
((CompositeImage) imp2).copyLuts(imp);
}
if (imp.isHyperStack()) imp2.setOpenAsHyperStack(true);
imp2.show();
imp2.changes = true;
}
void createMask(ImagePlus imp) {
Roi roi = imp.getRoi();
boolean useInvertingLut = Prefs.useInvertingLut;
Prefs.useInvertingLut = false;
boolean selectAll =
roi != null
&& roi.getType() == Roi.RECTANGLE
&& roi.getBounds().width == imp.getWidth()
&& roi.getBounds().height == imp.getHeight()
&& imp.isThreshold();
if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT) || selectAll) {
createMaskFromThreshold(imp);
Prefs.useInvertingLut = useInvertingLut;
return;
}
ImagePlus maskImp = null;
Frame frame = WindowManager.getFrame("Mask");
if (frame != null && (frame instanceof ImageWindow))
maskImp = ((ImageWindow) frame).getImagePlus();
if (maskImp == null) {
ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
if (!Prefs.blackBackground) ip.invertLut();
maskImp = new ImagePlus("Mask", ip);
maskImp.show();
}
ImageProcessor ip = maskImp.getProcessor();
ip.setRoi(roi);
ip.setValue(255);
ip.fill(ip.getMask());
Calibration cal = imp.getCalibration();
if (cal.scaled()) {
Calibration cal2 = maskImp.getCalibration();
cal2.pixelWidth = cal.pixelWidth;
cal2.pixelHeight = cal.pixelHeight;
cal2.setUnit(cal.getUnit());
}
maskImp.updateAndRepaintWindow();
Prefs.useInvertingLut = useInvertingLut;
}
/*
if selection is closed shape, create a circle with the same area and centroid, otherwise use<br>
the Pratt method to fit a circle to the points that define the line or multi-point selection.<br>
Reference: Pratt V., Direct least-squares fitting of algebraic surfaces", Computer Graphics, Vol. 21, pages 145-152 (1987).<br>
Original code: Nikolai Chernov's MATLAB script for Newton-based Pratt fit.<br>
(http://www.math.uab.edu/~chernov/cl/MATLABcircle.html)<br>
Java version: https://github.com/mdoube/BoneJ/blob/master/src/org/doube/geometry/FitCircle.java<br>
@authors Nikolai Chernov, Michael Doube, Ved Sharma
*/
void fitCircle(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Fit Circle");
return;
}
if (roi.isArea()) { // create circle with the same area and centroid
ImageProcessor ip = imp.getProcessor();
ip.setRoi(roi);
ImageStatistics stats =
ImageStatistics.getStatistics(ip, Measurements.AREA + Measurements.CENTROID, null);
double r = Math.sqrt(stats.pixelCount / Math.PI);
imp.killRoi();
int d = (int) Math.round(2.0 * r);
IJ.makeOval(
(int) Math.round(stats.xCentroid - r), (int) Math.round(stats.yCentroid - r), d, d);
return;
}
Polygon poly = roi.getPolygon();
int n = poly.npoints;
int[] x = poly.xpoints;
int[] y = poly.ypoints;
if (n < 3) {
IJ.error("Fit Circle", "At least 3 points are required to fit a circle.");
return;
}
// calculate point centroid
double sumx = 0, sumy = 0;
for (int i = 0; i < n; i++) {
sumx = sumx + poly.xpoints[i];
sumy = sumy + poly.ypoints[i];
}
double meanx = sumx / n;
double meany = sumy / n;
// calculate moments
double[] X = new double[n], Y = new double[n];
double Mxx = 0, Myy = 0, Mxy = 0, Mxz = 0, Myz = 0, Mzz = 0;
for (int i = 0; i < n; i++) {
X[i] = x[i] - meanx;
Y[i] = y[i] - meany;
double Zi = X[i] * X[i] + Y[i] * Y[i];
Mxy = Mxy + X[i] * Y[i];
Mxx = Mxx + X[i] * X[i];
Myy = Myy + Y[i] * Y[i];
Mxz = Mxz + X[i] * Zi;
Myz = Myz + Y[i] * Zi;
Mzz = Mzz + Zi * Zi;
}
Mxx = Mxx / n;
Myy = Myy / n;
Mxy = Mxy / n;
Mxz = Mxz / n;
Myz = Myz / n;
Mzz = Mzz / n;
// calculate the coefficients of the characteristic polynomial
double Mz = Mxx + Myy;
double Cov_xy = Mxx * Myy - Mxy * Mxy;
double Mxz2 = Mxz * Mxz;
double Myz2 = Myz * Myz;
double A2 = 4 * Cov_xy - 3 * Mz * Mz - Mzz;
double A1 = Mzz * Mz + 4 * Cov_xy * Mz - Mxz2 - Myz2 - Mz * Mz * Mz;
double A0 = Mxz2 * Myy + Myz2 * Mxx - Mzz * Cov_xy - 2 * Mxz * Myz * Mxy + Mz * Mz * Cov_xy;
double A22 = A2 + A2;
double epsilon = 1e-12;
double ynew = 1e+20;
int IterMax = 20;
double xnew = 0;
int iterations = 0;
// Newton's method starting at x=0
for (int iter = 1; iter <= IterMax; iter++) {
iterations = iter;
double yold = ynew;
ynew = A0 + xnew * (A1 + xnew * (A2 + 4. * xnew * xnew));
if (Math.abs(ynew) > Math.abs(yold)) {
if (IJ.debugMode) IJ.log("Fit Circle: wrong direction: |ynew| > |yold|");
xnew = 0;
break;
}
double Dy = A1 + xnew * (A22 + 16 * xnew * xnew);
double xold = xnew;
xnew = xold - ynew / Dy;
if (Math.abs((xnew - xold) / xnew) < epsilon) break;
if (iter >= IterMax) {
if (IJ.debugMode) IJ.log("Fit Circle: will not converge");
xnew = 0;
}
if (xnew < 0) {
if (IJ.debugMode) IJ.log("Fit Circle: negative root: x = " + xnew);
xnew = 0;
}
}
if (IJ.debugMode)
IJ.log("Fit Circle: n=" + n + ", xnew=" + IJ.d2s(xnew, 2) + ", iterations=" + iterations);
// calculate the circle parameters
double DET = xnew * xnew - xnew * Mz + Cov_xy;
double CenterX = (Mxz * (Myy - xnew) - Myz * Mxy) / (2 * DET);
double CenterY = (Myz * (Mxx - xnew) - Mxz * Mxy) / (2 * DET);
double radius = Math.sqrt(CenterX * CenterX + CenterY * CenterY + Mz + 2 * xnew);
if (Double.isNaN(radius)) {
IJ.error("Fit Circle", "Points are collinear.");
return;
}
CenterX = CenterX + meanx;
CenterY = CenterY + meany;
imp.killRoi();
IJ.makeOval(
(int) Math.round(CenterX - radius),
(int) Math.round(CenterY - radius),
(int) Math.round(2 * radius),
(int) Math.round(2 * radius));
}
public void build_bricks() {
ImagePlus imp;
ImagePlus orgimp;
ImageStack stack;
FileInfo finfo;
if (lvImgTitle.isEmpty()) return;
orgimp = WindowManager.getImage(lvImgTitle.get(0));
imp = orgimp;
finfo = imp.getFileInfo();
if (finfo == null) return;
int[] dims = imp.getDimensions();
int imageW = dims[0];
int imageH = dims[1];
int nCh = dims[2];
int imageD = dims[3];
int nFrame = dims[4];
int bdepth = imp.getBitDepth();
double xspc = finfo.pixelWidth;
double yspc = finfo.pixelHeight;
double zspc = finfo.pixelDepth;
double z_aspect = Math.max(xspc, yspc) / zspc;
int orgW = imageW;
int orgH = imageH;
int orgD = imageD;
double orgxspc = xspc;
double orgyspc = yspc;
double orgzspc = zspc;
lv = lvImgTitle.size();
if (filetype == "JPEG") {
for (int l = 0; l < lv; l++) {
if (WindowManager.getImage(lvImgTitle.get(l)).getBitDepth() != 8) {
IJ.error("A SOURCE IMAGE MUST BE 8BIT GLAYSCALE");
return;
}
}
}
// calculate levels
/* int baseXY = 256;
int baseZ = 256;
if (z_aspect < 0.5) baseZ = 128;
if (z_aspect > 2.0) baseXY = 128;
if (z_aspect >= 0.5 && z_aspect < 1.0) baseZ = (int)(baseZ*z_aspect);
if (z_aspect > 1.0 && z_aspect <= 2.0) baseXY = (int)(baseXY/z_aspect);
IJ.log("Z_aspect: " + z_aspect);
IJ.log("BaseXY: " + baseXY);
IJ.log("BaseZ: " + baseZ);
*/
int baseXY = 256;
int baseZ = 128;
int dbXY = Math.max(orgW, orgH) / baseXY;
if (Math.max(orgW, orgH) % baseXY > 0) dbXY *= 2;
int dbZ = orgD / baseZ;
if (orgD % baseZ > 0) dbZ *= 2;
lv = Math.max(log2(dbXY), log2(dbZ)) + 1;
int ww = orgW;
int hh = orgH;
int dd = orgD;
for (int l = 0; l < lv; l++) {
int bwnum = ww / baseXY;
if (ww % baseXY > 0) bwnum++;
int bhnum = hh / baseXY;
if (hh % baseXY > 0) bhnum++;
int bdnum = dd / baseZ;
if (dd % baseZ > 0) bdnum++;
if (bwnum % 2 == 0) bwnum++;
if (bhnum % 2 == 0) bhnum++;
if (bdnum % 2 == 0) bdnum++;
int bw = (bwnum <= 1) ? ww : ww / bwnum + 1 + (ww % bwnum > 0 ? 1 : 0);
int bh = (bhnum <= 1) ? hh : hh / bhnum + 1 + (hh % bhnum > 0 ? 1 : 0);
int bd = (bdnum <= 1) ? dd : dd / bdnum + 1 + (dd % bdnum > 0 ? 1 : 0);
bwlist.add(bw);
bhlist.add(bh);
bdlist.add(bd);
IJ.log("LEVEL: " + l);
IJ.log(" width: " + ww);
IJ.log(" hight: " + hh);
IJ.log(" depth: " + dd);
IJ.log(" bw: " + bw);
IJ.log(" bh: " + bh);
IJ.log(" bd: " + bd);
int xyl2 = Math.max(ww, hh) / baseXY;
if (Math.max(ww, hh) % baseXY > 0) xyl2 *= 2;
if (lv - 1 - log2(xyl2) <= l) {
ww /= 2;
hh /= 2;
}
IJ.log(" xyl2: " + (lv - 1 - log2(xyl2)));
int zl2 = dd / baseZ;
if (dd % baseZ > 0) zl2 *= 2;
if (lv - 1 - log2(zl2) <= l) dd /= 2;
IJ.log(" zl2: " + (lv - 1 - log2(zl2)));
if (l < lv - 1) {
lvImgTitle.add(lvImgTitle.get(0) + "_level" + (l + 1));
IJ.selectWindow(lvImgTitle.get(0));
IJ.run(
"Scale...",
"x=- y=- z=- width="
+ ww
+ " height="
+ hh
+ " depth="
+ dd
+ " interpolation=Bicubic average process create title="
+ lvImgTitle.get(l + 1));
}
}
for (int l = 0; l < lv; l++) {
IJ.log(lvImgTitle.get(l));
}
Document doc = newXMLDocument();
Element root = doc.createElement("BRK");
root.setAttribute("version", "1.0");
root.setAttribute("nLevel", String.valueOf(lv));
root.setAttribute("nChannel", String.valueOf(nCh));
root.setAttribute("nFrame", String.valueOf(nFrame));
doc.appendChild(root);
for (int l = 0; l < lv; l++) {
IJ.showProgress(0.0);
int[] dims2 = imp.getDimensions();
IJ.log(
"W: "
+ String.valueOf(dims2[0])
+ " H: "
+ String.valueOf(dims2[1])
+ " C: "
+ String.valueOf(dims2[2])
+ " D: "
+ String.valueOf(dims2[3])
+ " T: "
+ String.valueOf(dims2[4])
+ " b: "
+ String.valueOf(bdepth));
bw = bwlist.get(l).intValue();
bh = bhlist.get(l).intValue();
bd = bdlist.get(l).intValue();
boolean force_pow2 = false;
/* if(IsPowerOf2(bw) && IsPowerOf2(bh) && IsPowerOf2(bd)) force_pow2 = true;
if(force_pow2){
//force pow2
if(Pow2(bw) > bw) bw = Pow2(bw)/2;
if(Pow2(bh) > bh) bh = Pow2(bh)/2;
if(Pow2(bd) > bd) bd = Pow2(bd)/2;
}
if(bw > imageW) bw = (Pow2(imageW) == imageW) ? imageW : Pow2(imageW)/2;
if(bh > imageH) bh = (Pow2(imageH) == imageH) ? imageH : Pow2(imageH)/2;
if(bd > imageD) bd = (Pow2(imageD) == imageD) ? imageD : Pow2(imageD)/2;
*/
if (bw > imageW) bw = imageW;
if (bh > imageH) bh = imageH;
if (bd > imageD) bd = imageD;
if (bw <= 1 || bh <= 1 || bd <= 1) break;
if (filetype == "JPEG" && (bw < 8 || bh < 8)) break;
Element lvnode = doc.createElement("Level");
lvnode.setAttribute("lv", String.valueOf(l));
lvnode.setAttribute("imageW", String.valueOf(imageW));
lvnode.setAttribute("imageH", String.valueOf(imageH));
lvnode.setAttribute("imageD", String.valueOf(imageD));
lvnode.setAttribute("xspc", String.valueOf(xspc));
lvnode.setAttribute("yspc", String.valueOf(yspc));
lvnode.setAttribute("zspc", String.valueOf(zspc));
lvnode.setAttribute("bitDepth", String.valueOf(bdepth));
root.appendChild(lvnode);
Element brksnode = doc.createElement("Bricks");
brksnode.setAttribute("brick_baseW", String.valueOf(bw));
brksnode.setAttribute("brick_baseH", String.valueOf(bh));
brksnode.setAttribute("brick_baseD", String.valueOf(bd));
lvnode.appendChild(brksnode);
ArrayList<Brick> bricks = new ArrayList<Brick>();
int mw, mh, md, mw2, mh2, md2;
double tx0, ty0, tz0, tx1, ty1, tz1;
double bx0, by0, bz0, bx1, by1, bz1;
for (int k = 0; k < imageD; k += bd) {
if (k > 0) k--;
for (int j = 0; j < imageH; j += bh) {
if (j > 0) j--;
for (int i = 0; i < imageW; i += bw) {
if (i > 0) i--;
mw = Math.min(bw, imageW - i);
mh = Math.min(bh, imageH - j);
md = Math.min(bd, imageD - k);
if (force_pow2) {
mw2 = Pow2(mw);
mh2 = Pow2(mh);
md2 = Pow2(md);
} else {
mw2 = mw;
mh2 = mh;
md2 = md;
}
if (filetype == "JPEG") {
if (mw2 < 8) mw2 = 8;
if (mh2 < 8) mh2 = 8;
}
tx0 = i == 0 ? 0.0d : ((mw2 - mw + 0.5d) / mw2);
ty0 = j == 0 ? 0.0d : ((mh2 - mh + 0.5d) / mh2);
tz0 = k == 0 ? 0.0d : ((md2 - md + 0.5d) / md2);
tx1 = 1.0d - 0.5d / mw2;
if (mw < bw) tx1 = 1.0d;
if (imageW - i == bw) tx1 = 1.0d;
ty1 = 1.0d - 0.5d / mh2;
if (mh < bh) ty1 = 1.0d;
if (imageH - j == bh) ty1 = 1.0d;
tz1 = 1.0d - 0.5d / md2;
if (md < bd) tz1 = 1.0d;
if (imageD - k == bd) tz1 = 1.0d;
bx0 = i == 0 ? 0.0d : (i + 0.5d) / (double) imageW;
by0 = j == 0 ? 0.0d : (j + 0.5d) / (double) imageH;
bz0 = k == 0 ? 0.0d : (k + 0.5d) / (double) imageD;
bx1 = Math.min((i + bw - 0.5d) / (double) imageW, 1.0d);
if (imageW - i == bw) bx1 = 1.0d;
by1 = Math.min((j + bh - 0.5d) / (double) imageH, 1.0d);
if (imageH - j == bh) by1 = 1.0d;
bz1 = Math.min((k + bd - 0.5d) / (double) imageD, 1.0d);
if (imageD - k == bd) bz1 = 1.0d;
int x, y, z;
x = i - (mw2 - mw);
y = j - (mh2 - mh);
z = k - (md2 - md);
bricks.add(
new Brick(
x, y, z, mw2, mh2, md2, 0, 0, tx0, ty0, tz0, tx1, ty1, tz1, bx0, by0, bz0, bx1,
by1, bz1));
}
}
}
Element fsnode = doc.createElement("Files");
lvnode.appendChild(fsnode);
stack = imp.getStack();
int totalbricknum = nFrame * nCh * bricks.size();
int curbricknum = 0;
for (int f = 0; f < nFrame; f++) {
for (int ch = 0; ch < nCh; ch++) {
int sizelimit = bdsizelimit * 1024 * 1024;
int bytecount = 0;
int filecount = 0;
int pd_bufsize = Math.max(sizelimit, bw * bh * bd * bdepth / 8);
byte[] packed_data = new byte[pd_bufsize];
String base_dataname =
basename
+ "_Lv"
+ String.valueOf(l)
+ "_Ch"
+ String.valueOf(ch)
+ "_Fr"
+ String.valueOf(f);
String current_dataname = base_dataname + "_data" + filecount;
Brick b_first = bricks.get(0);
if (b_first.z_ != 0) IJ.log("warning");
int st_z = b_first.z_;
int ed_z = b_first.z_ + b_first.d_;
LinkedList<ImageProcessor> iplist = new LinkedList<ImageProcessor>();
for (int s = st_z; s < ed_z; s++)
iplist.add(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
// ImagePlus test;
// ImageStack tsst;
// test = NewImage.createByteImage("test", imageW, imageH, imageD,
// NewImage.FILL_BLACK);
// tsst = test.getStack();
for (int i = 0; i < bricks.size(); i++) {
Brick b = bricks.get(i);
if (ed_z > b.z_ || st_z < b.z_ + b.d_) {
if (b.z_ > st_z) {
for (int s = 0; s < b.z_ - st_z; s++) iplist.pollFirst();
st_z = b.z_;
} else if (b.z_ < st_z) {
IJ.log("warning");
for (int s = st_z - 1; s > b.z_; s--)
iplist.addFirst(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
st_z = b.z_;
}
if (b.z_ + b.d_ > ed_z) {
for (int s = ed_z; s < b.z_ + b.d_; s++)
iplist.add(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
ed_z = b.z_ + b.d_;
} else if (b.z_ + b.d_ < ed_z) {
IJ.log("warning");
for (int s = 0; s < ed_z - (b.z_ + b.d_); s++) iplist.pollLast();
ed_z = b.z_ + b.d_;
}
} else {
IJ.log("warning");
iplist.clear();
st_z = b.z_;
ed_z = b.z_ + b.d_;
for (int s = st_z; s < ed_z; s++)
iplist.add(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
}
if (iplist.size() != b.d_) {
IJ.log("Stack Error");
return;
}
// int zz = st_z;
int bsize = 0;
byte[] bdata = new byte[b.w_ * b.h_ * b.d_ * bdepth / 8];
Iterator<ImageProcessor> ipite = iplist.iterator();
while (ipite.hasNext()) {
// ImageProcessor tsip = tsst.getProcessor(zz+1);
ImageProcessor ip = ipite.next();
ip.setRoi(b.x_, b.y_, b.w_, b.h_);
if (bdepth == 8) {
byte[] data = (byte[]) ip.crop().getPixels();
System.arraycopy(data, 0, bdata, bsize, data.length);
bsize += data.length;
} else if (bdepth == 16) {
ByteBuffer buffer = ByteBuffer.allocate(b.w_ * b.h_ * bdepth / 8);
buffer.order(ByteOrder.LITTLE_ENDIAN);
short[] data = (short[]) ip.crop().getPixels();
for (short e : data) buffer.putShort(e);
System.arraycopy(buffer.array(), 0, bdata, bsize, buffer.array().length);
bsize += buffer.array().length;
} else if (bdepth == 32) {
ByteBuffer buffer = ByteBuffer.allocate(b.w_ * b.h_ * bdepth / 8);
buffer.order(ByteOrder.LITTLE_ENDIAN);
float[] data = (float[]) ip.crop().getPixels();
for (float e : data) buffer.putFloat(e);
System.arraycopy(buffer.array(), 0, bdata, bsize, buffer.array().length);
bsize += buffer.array().length;
}
}
String filename =
basename
+ "_Lv"
+ String.valueOf(l)
+ "_Ch"
+ String.valueOf(ch)
+ "_Fr"
+ String.valueOf(f)
+ "_ID"
+ String.valueOf(i);
int offset = bytecount;
int datasize = bdata.length;
if (filetype == "RAW") {
int dummy = -1;
// do nothing
}
if (filetype == "JPEG" && bdepth == 8) {
try {
DataBufferByte db = new DataBufferByte(bdata, datasize);
Raster raster = Raster.createPackedRaster(db, b.w_, b.h_ * b.d_, 8, null);
BufferedImage img =
new BufferedImage(b.w_, b.h_ * b.d_, BufferedImage.TYPE_BYTE_GRAY);
img.setData(raster);
ByteArrayOutputStream baos = new ByteArrayOutputStream();
ImageOutputStream ios = ImageIO.createImageOutputStream(baos);
String format = "jpg";
Iterator<javax.imageio.ImageWriter> iter =
ImageIO.getImageWritersByFormatName("jpeg");
javax.imageio.ImageWriter writer = iter.next();
ImageWriteParam iwp = writer.getDefaultWriteParam();
iwp.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);
iwp.setCompressionQuality((float) jpeg_quality * 0.01f);
writer.setOutput(ios);
writer.write(null, new IIOImage(img, null, null), iwp);
// ImageIO.write(img, format, baos);
bdata = baos.toByteArray();
datasize = bdata.length;
} catch (IOException e) {
e.printStackTrace();
return;
}
}
if (filetype == "ZLIB") {
byte[] tmpdata = new byte[b.w_ * b.h_ * b.d_ * bdepth / 8];
Deflater compresser = new Deflater();
compresser.setInput(bdata);
compresser.setLevel(Deflater.DEFAULT_COMPRESSION);
compresser.setStrategy(Deflater.DEFAULT_STRATEGY);
compresser.finish();
datasize = compresser.deflate(tmpdata);
bdata = tmpdata;
compresser.end();
}
if (bytecount + datasize > sizelimit && bytecount > 0) {
BufferedOutputStream fis = null;
try {
File file = new File(directory + current_dataname);
fis = new BufferedOutputStream(new FileOutputStream(file));
fis.write(packed_data, 0, bytecount);
} catch (IOException e) {
e.printStackTrace();
return;
} finally {
try {
if (fis != null) fis.close();
} catch (IOException e) {
e.printStackTrace();
return;
}
}
filecount++;
current_dataname = base_dataname + "_data" + filecount;
bytecount = 0;
offset = 0;
System.arraycopy(bdata, 0, packed_data, bytecount, datasize);
bytecount += datasize;
} else {
System.arraycopy(bdata, 0, packed_data, bytecount, datasize);
bytecount += datasize;
}
Element filenode = doc.createElement("File");
filenode.setAttribute("filename", current_dataname);
filenode.setAttribute("channel", String.valueOf(ch));
filenode.setAttribute("frame", String.valueOf(f));
filenode.setAttribute("brickID", String.valueOf(i));
filenode.setAttribute("offset", String.valueOf(offset));
filenode.setAttribute("datasize", String.valueOf(datasize));
filenode.setAttribute("filetype", String.valueOf(filetype));
fsnode.appendChild(filenode);
curbricknum++;
IJ.showProgress((double) (curbricknum) / (double) (totalbricknum));
}
if (bytecount > 0) {
BufferedOutputStream fis = null;
try {
File file = new File(directory + current_dataname);
fis = new BufferedOutputStream(new FileOutputStream(file));
fis.write(packed_data, 0, bytecount);
} catch (IOException e) {
e.printStackTrace();
return;
} finally {
try {
if (fis != null) fis.close();
} catch (IOException e) {
e.printStackTrace();
return;
}
}
}
}
}
for (int i = 0; i < bricks.size(); i++) {
Brick b = bricks.get(i);
Element bricknode = doc.createElement("Brick");
bricknode.setAttribute("id", String.valueOf(i));
bricknode.setAttribute("st_x", String.valueOf(b.x_));
bricknode.setAttribute("st_y", String.valueOf(b.y_));
bricknode.setAttribute("st_z", String.valueOf(b.z_));
bricknode.setAttribute("width", String.valueOf(b.w_));
bricknode.setAttribute("height", String.valueOf(b.h_));
bricknode.setAttribute("depth", String.valueOf(b.d_));
brksnode.appendChild(bricknode);
Element tboxnode = doc.createElement("tbox");
tboxnode.setAttribute("x0", String.valueOf(b.tx0_));
tboxnode.setAttribute("y0", String.valueOf(b.ty0_));
tboxnode.setAttribute("z0", String.valueOf(b.tz0_));
tboxnode.setAttribute("x1", String.valueOf(b.tx1_));
tboxnode.setAttribute("y1", String.valueOf(b.ty1_));
tboxnode.setAttribute("z1", String.valueOf(b.tz1_));
bricknode.appendChild(tboxnode);
Element bboxnode = doc.createElement("bbox");
bboxnode.setAttribute("x0", String.valueOf(b.bx0_));
bboxnode.setAttribute("y0", String.valueOf(b.by0_));
bboxnode.setAttribute("z0", String.valueOf(b.bz0_));
bboxnode.setAttribute("x1", String.valueOf(b.bx1_));
bboxnode.setAttribute("y1", String.valueOf(b.by1_));
bboxnode.setAttribute("z1", String.valueOf(b.bz1_));
bricknode.appendChild(bboxnode);
}
if (l < lv - 1) {
imp = WindowManager.getImage(lvImgTitle.get(l + 1));
int[] newdims = imp.getDimensions();
imageW = newdims[0];
imageH = newdims[1];
imageD = newdims[3];
xspc = orgxspc * ((double) orgW / (double) imageW);
yspc = orgyspc * ((double) orgH / (double) imageH);
zspc = orgzspc * ((double) orgD / (double) imageD);
bdepth = imp.getBitDepth();
}
}
File newXMLfile = new File(directory + basename + ".vvd");
writeXML(newXMLfile, doc);
for (int l = 1; l < lv; l++) {
imp = WindowManager.getImage(lvImgTitle.get(l));
imp.changes = false;
imp.close();
}
}
void drawRoiFilledParticle(ImageProcessor ip, Roi roi, ImageProcessor mask, int count) {
int grayLevel = (count < 65535) ? count : 65535;
ip.setValue((double) grayLevel);
ip.setRoi(roi.getBounds());
ip.fill(mask);
}
void drawFilledParticle(ImageProcessor ip, Roi roi, ImageProcessor mask) {
// IJ.write(roi.getBounds()+" "+mask.length);
ip.setRoi(roi.getBounds());
ip.fill(mask);
}
void analyzeParticle(int x, int y, ImagePlus imp, ImageProcessor ip) {
// Wand wand = new Wand(ip);
ImageProcessor ip2 = redirectIP != null ? redirectIP : ip;
wand.autoOutline(x, y, level1, level2, wandMode);
if (wand.npoints == 0) {
IJ.log("wand error: " + x + " " + y);
return;
}
Roi roi = new PolygonRoi(wand.xpoints, wand.ypoints, wand.npoints, roiType);
Rectangle r = roi.getBounds();
if (r.width > 1 && r.height > 1) {
PolygonRoi proi = (PolygonRoi) roi;
pf.setPolygon(proi.getXCoordinates(), proi.getYCoordinates(), proi.getNCoordinates());
ip2.setMask(pf.getMask(r.width, r.height));
if (floodFill) ff.particleAnalyzerFill(x, y, level1, level2, ip2.getMask(), r);
}
ip2.setRoi(r);
ip.setValue(fillColor);
ImageStatistics stats = getStatistics(ip2, measurements, calibration);
boolean include = true;
if (excludeEdgeParticles) {
if (r.x == minX || r.y == minY || r.x + r.width == maxX || r.y + r.height == maxY)
include = false;
if (polygon != null) {
Rectangle bounds = roi.getBounds();
int x1 = bounds.x + wand.xpoints[wand.npoints - 1];
int y1 = bounds.y + wand.ypoints[wand.npoints - 1];
int x2, y2;
for (int i = 0; i < wand.npoints; i++) {
x2 = bounds.x + wand.xpoints[i];
y2 = bounds.y + wand.ypoints[i];
if (!polygon.contains(x2, y2)) {
include = false;
break;
}
if ((x1 == x2 && ip.getPixel(x1, y1 - 1) == fillColor)
|| (y1 == y2 && ip.getPixel(x1 - 1, y1) == fillColor)) {
include = false;
break;
}
x1 = x2;
y1 = y2;
}
}
}
ImageProcessor mask = ip2.getMask();
if (minCircularity > 0.0 || maxCircularity < 1.0) {
double perimeter = roi.getLength();
double circularity =
perimeter == 0.0 ? 0.0 : 4.0 * Math.PI * (stats.pixelCount / (perimeter * perimeter));
if (circularity > 1.0) circularity = 1.0;
// IJ.log(circularity+" "+perimeter+" "+stats.area);
if (circularity < minCircularity || circularity > maxCircularity) include = false;
}
if (stats.pixelCount >= minSize && stats.pixelCount <= maxSize && include) {
particleCount++;
if (roiNeedsImage) roi.setImage(imp);
stats.xstart = x;
stats.ystart = y;
saveResults(stats, roi);
if (showChoice != NOTHING) drawParticle(drawIP, roi, stats, mask);
}
if (redirectIP != null) ip.setRoi(r);
ip.fill(mask);
}
void Otsu(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// Otsu's threshold algorithm
// C++ code by Jordan Bevik <*****@*****.**>
// ported to ImageJ plugin by G.Landini. Same algorithm as in Auto_Threshold, this time on local
// circular regions
int[] data;
int w = imp.getWidth();
int h = imp.getHeight();
int position;
int radiusx2 = radius * 2;
ImageProcessor ip = imp.getProcessor();
byte[] pixels = (byte[]) ip.getPixels();
byte[] pixelsOut =
new byte
[pixels.length]; // need this to avoid changing the image data (and further histograms)
byte object;
byte backg;
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
int k, kStar; // k = the current threshold; kStar = optimal threshold
int N1, N; // N1 = # points with intensity <=k; N = total number of points
double BCV, BCVmax; // The current Between Class Variance and maximum BCV
double num, denom; // temporary bookeeping
int Sk; // The total intensity for all histogram points <=k
int S,
L =
256; // The total intensity of the image. Need to hange here if modifying for >8 bits
// images
int roiy;
Roi roi = new OvalRoi(0, 0, radiusx2, radiusx2);
// ip.setRoi(roi);
for (int y = 0; y < h; y++) {
IJ.showProgress(
(double) (y) / (h - 1)); // this method is slow, so let's show the progress bar
roiy = y - radius;
for (int x = 0; x < w; x++) {
roi.setLocation(x - radius, roiy);
ip.setRoi(roi);
// ip.setRoi(new OvalRoi(x-radius, roiy, radiusx2, radiusx2));
position = x + y * w;
data = ip.getHistogram();
// Initialize values:
S = N = 0;
for (k = 0; k < L; k++) {
S += k * data[k]; // Total histogram intensity
N += data[k]; // Total number of data points
}
Sk = 0;
N1 = data[0]; // The entry for zero intensity
BCV = 0;
BCVmax = 0;
kStar = 0;
// Look at each possible threshold value,
// calculate the between-class variance, and decide if it's a max
for (k = 1; k < L - 1; k++) { // No need to check endpoints k = 0 or k = L-1
Sk += k * data[k];
N1 += data[k];
// The float casting here is to avoid compiler warning about loss of precision and
// will prevent overflow in the case of large saturated images
denom = (double) (N1) * (N - N1); // Maximum value of denom is (N^2)/4 = approx. 3E10
if (denom != 0) {
// Float here is to avoid loss of precision when dividing
num = ((double) N1 / N) * S - Sk; // Maximum value of num = 255*N = approx 8E7
BCV = (num * num) / denom;
} else BCV = 0;
if (BCV >= BCVmax) { // Assign the best threshold found so far
BCVmax = BCV;
kStar = k;
}
}
// kStar += 1; // Use QTI convention that intensity -> 1 if intensity >= k
// (the algorithm was developed for I-> 1 if I <= k.)
// return kStar;
pixelsOut[position] = ((int) (pixels[position] & 0xff) > kStar) ? object : backg;
}
}
for (position = 0; position < w * h; position++)
pixels[position] = pixelsOut[position]; // update with thresholded pixels
}