/*
* Copyright (C) 2010-2014 Andreas Maier
* CONRAD is developed as an Open Source project under the GNU General Public License (GPL).
*/
package edu.stanford.rsl.conrad.io;
import ij.process.FloatBlitter;
import ij.process.FloatProcessor;
import ij.process.ImageProcessor;
import java.awt.Color;
import java.awt.Image;
import java.awt.Toolkit;
import java.awt.image.BufferedImage;
import java.awt.image.ColorModel;
import java.awt.image.MemoryImageSource;
import java.io.Serializable;
import java.util.Random;
public class SerializableFloatProcessor extends ImageProcessor implements
Serializable {
/**
*
*/
private int width = 0;
private int height = 0;
private ColorModel cm = null;
private static final long serialVersionUID = -5805594811209369617L;
private float min, max, snapshotMin, snapshotMax;
private float[] pixels;
protected byte[] pixels8;
private float[] snapshotPixels = null;
private float fillColor = Float.MAX_VALUE;
private boolean fixedScale = false;
static final int INVERT=0, FILL=1, ADD=2, MULT=3, AND=4, OR=5,
XOR=6, GAMMA=7, LOG=8, MINIMUM=9, MAXIMUM=10, SQR=11, SQRT=12, EXP=13, ABS=14;
static final int BLUR_MORE=0, FIND_EDGES=1, MEDIAN_FILTER=2, MIN=3, MAX=4, CONVOLVE=5;
static final String WRONG_LENGTH = "width*height!=pixels.length";
/** Creates a new FloatProcessor using the specified pixel array and ColorModel.
Set 'cm' to null to use the default grayscale LUT. */
public SerializableFloatProcessor(int width, int height, float[] pixels, ColorModel cm) {
if (pixels!=null && width*height!=pixels.length)
throw new IllegalArgumentException(WRONG_LENGTH);
this.width = width;
this.height = height;
super.width = width;
super.height = height;
this.pixels = pixels;
this.cm = cm;
super.cm = cm;
resetRoi();
if (pixels!=null)
findMinAndMax();
}
/** Creates a new FloatProcessor using the specified FloatProcessor.
Set 'cm' to null to use the default grayscale LUT. */
public SerializableFloatProcessor(FloatProcessor floatProcessor) {
floatProcessor = (FloatProcessor) floatProcessor.duplicate();
this.width = floatProcessor.getWidth();
this.height = floatProcessor.getHeight();
this.pixels = (float []) floatProcessor.getPixels();
this.cm = floatProcessor.getColorModel();
resetRoi();
if (pixels!=null)
findMinAndMax();
}
/** Creates a new FloatProcessor using the specified ImageProcessor.
Set 'cm' to null to use the default grayscale LUT. */
public SerializableFloatProcessor(ImageProcessor imageProcessor) {
imageProcessor = imageProcessor.duplicate();
FloatProcessor floatProcessor = imageProcessor.toFloat(0, null);
this.width = floatProcessor.getWidth();
this.height = floatProcessor.getHeight();
this.pixels = (float []) floatProcessor.getPixels();
this.cm = floatProcessor.getColorModel();
resetRoi();
if (pixels!=null)
findMinAndMax();
}
/** Creates a blank FloatProcessor using the default grayscale LUT that
displays zero as black. Call invertLut() to display zero as white. */
public SerializableFloatProcessor(int width, int height) {
this(width, height, new float[width*height], null);
}
/** Creates a FloatProcessor from an int array using the default grayscale LUT. */
public SerializableFloatProcessor(int width, int height, int[] pixels) {
this(width, height);
for (int i=0; i<pixels.length; i++)
this.pixels[i] = (float)(pixels[i]);
findMinAndMax();
}
/** Creates a FloatProcessor from a double array using the default grayscale LUT. */
public SerializableFloatProcessor(int width, int height, double[] pixels) {
this(width, height);
for (int i=0; i<pixels.length; i++)
this.pixels[i] = (float)pixels[i];
findMinAndMax();
}
/** Creates a FloatProcessor from a 2D float array using the default LUT. */
public SerializableFloatProcessor(float[][] array) {
width = array.length;
height = array[0].length;
pixels = new float[width*height];
int i=0;
for (int y=0; y<height; y++) {
for (int x=0; x<width; x++) {
pixels[i++] = array[x][y];
}
}
resetRoi();
findMinAndMax();
}
/** Creates a FloatProcessor from an int[][] array. */
public SerializableFloatProcessor(int[][] array) {
this(array.length, array[0].length);
setIntArray(array);
findMinAndMax();
}
/**
Calculates the minimum and maximum pixel value for the entire image.
Returns without doing anything if fixedScale has been set true as a result
of calling setMinAndMax(). In this case, getMin() and getMax() return the
fixed min and max defined by setMinAndMax(), rather than the calculated min
and max.
@see #getMin()
@see #getMin()
*/
public void findMinAndMax() {
//CONRAD.log("findMinAndMax: "+fixedScale);
if (fixedScale)
return;
min = Float.MAX_VALUE;
max = -Float.MAX_VALUE;
for (int i=0; i < width*height; i++) {
float value = pixels[i];
if (!Float.isInfinite(value)) {
if (value<min)
min = value;
if (value>max)
max = value;
}
}
showProgress(1.0);
}
/**
Sets the min and max variables that control how real
pixel values are mapped to 0-255 screen values. Use
resetMinAndMax() to enable auto-scaling;
*/
public void setMinAndMax(double min, double max) {
if (min==0.0 && max==0.0)
{resetMinAndMax(); return;}
this.min = (float)min;
this.max = (float)max;
fixedScale = true;
resetThreshold();
}
/** Recalculates the min and max values used to scale pixel
values to 0-255 for display. This ensures that this
FloatProcessor is set up to correctly display the image. */
public void resetMinAndMax() {
fixedScale = false;
findMinAndMax();
resetThreshold();
}
/** Returns the smallest displayed pixel value. */
public double getMin() {
return min;
}
/** Returns the largest displayed pixel value. */
public double getMax() {
return max;
}
public Image createImage() {
boolean firstTime = pixels8==null;
if (firstTime || !lutAnimation)
create8BitImageS();
if (cm==null)
makeDefaultColorModel();
if (source==null) {
source = new MemoryImageSource(width, height, cm, pixels8, 0, width);
source.setAnimated(true);
source.setFullBufferUpdates(true);
img = Toolkit.getDefaultToolkit().createImage(source);
} else if (newPixels) {
source.newPixels(pixels8, cm, 0, width);
newPixels = false;
} else
source.newPixels();
lutAnimation = false;
return img;
}
protected byte[] create8BitImageS() {
// scale from float to 8-bits
int size = width*height;
if (pixels8==null)
pixels8 = new byte[size];
float value;
int ivalue;
float scale = 255f/(max-min);
for (int i=0; i<size; i++) {
value = pixels[i]-min;
if (value<0f) value = 0f;
ivalue = (int)((value*scale)+0.5f);
if (ivalue>255) ivalue = 255;
pixels8[i] = (byte)ivalue;
}
return pixels8;
}
/** Returns this image as an 8-bit BufferedImage. */
public BufferedImage getBufferedImage() {
return convertToByte(true).getBufferedImage();
}
/** Returns a new, blank FloatProcessor with the specified width and height. */
public SerializableFloatProcessor createProcessor(int width, int height) {
SerializableFloatProcessor ip2 = new SerializableFloatProcessor(width, height, new float[width*height], getColorModel());
ip2.setMinAndMax(getMin(), getMax());
ip2.setInterpolationMethod(interpolationMethod);
return ip2;
}
public void snapshot() {
snapshotWidth=width;
snapshotHeight=height;
snapshotMin=min;
snapshotMax=max;
if (snapshotPixels==null || (snapshotPixels!=null && snapshotPixels.length!=pixels.length))
snapshotPixels = new float[width * height];
System.arraycopy(pixels, 0, snapshotPixels, 0, width*height);
}
public void reset() {
if (snapshotPixels==null)
return;
min=snapshotMin;
max=snapshotMax;
System.arraycopy(snapshotPixels,0,pixels,0,width*height);
}
public void reset(ImageProcessor mask) {
if (mask==null || snapshotPixels==null)
return;
if (mask.getWidth()!=roiWidth||mask.getHeight()!=roiHeight)
throw new IllegalArgumentException(maskSizeError(mask));
byte[] mpixels = (byte[])mask.getPixels();
for (int y=roiY, my=0; y<(roiY+roiHeight); y++, my++) {
int i = y * width + roiX;
int mi = my * roiWidth;
for (int x=roiX; x<(roiX+roiWidth); x++) {
if (mpixels[mi++]==0)
pixels[i] = snapshotPixels[i];
i++;
}
}
}
public void setSnapshotPixels(Object pixels) {
snapshotPixels = (float[])pixels;
snapshotWidth=width;
snapshotHeight=height;
}
public Object getSnapshotPixels() {
return snapshotPixels;
}
/** Returns a pixel value that must be converted using
Float.intBitsToFloat(). */
public int getPixel(int x, int y) {
if (x>=0 && x<width && y>=0 && y<height)
return Float.floatToIntBits(pixels[y*width+x]);
else
return 0;
}
public final int get(int x, int y) {
return Float.floatToIntBits(pixels[y*width+x]);
}
public final void set(int x, int y, int value) {
pixels[y*width + x] = Float.intBitsToFloat(value);
}
public final int get(int index) {
return Float.floatToIntBits(pixels[index]);
}
public final void set(int index, int value) {
pixels[index] = Float.intBitsToFloat(value);
}
public final float getf(int x, int y) {
return pixels[y*width+x];
}
public final void setf(int x, int y, float value) {
pixels[y*width + x] = value;
}
public final float getf(int index) {
return pixels[index];
}
public final void setf(int index, float value) {
pixels[index] = value;
}
/** Returns the value of the pixel at (x,y) in a
one element int array. iArray is an optiona
preallocated array. */
public int[] getPixel(int x, int y, int[] iArray) {
if (iArray==null) iArray = new int[1];
iArray[0] = (int)getPixelValue(x, y);
return iArray;
}
/** Sets a pixel in the image using a one element int array. */
public final void putPixel(int x, int y, int[] iArray) {
putPixelValue(x, y, iArray[0]);
}
/** Uses the current interpolation method (BILINEAR or BICUBIC)
to calculate the pixel value at real coordinates (x,y). */
public double getInterpolatedPixel(double x, double y) {
if (interpolationMethod==BICUBIC)
return getBicubicInterpolatedPixel(x, y, this);
else {
if (x<0.0) x = 0.0;
if (x>=width-1.0) x = width-1.001;
if (y<0.0) y = 0.0;
if (y>=height-1.0) y = height-1.001;
return getInterpolatedPixel(x, y, pixels);
}
}
final public int getPixelInterpolated(double x, double y) {
if (interpolationMethod==BILINEAR) {
if (x<0.0 || y<0.0 || x>=width-1 || y>=height-1)
return 0;
else
return Float.floatToIntBits((float)getInterpolatedPixel(x, y, pixels));
} else if (interpolationMethod==BICUBIC)
return Float.floatToIntBits((float)getBicubicInterpolatedPixel(x, y, this));
else
return getPixel((int)(x+0.5), (int)(y+0.5));
}
/** Stores the specified value at (x,y). The value is expected to be a
float that has been converted to an int using Float.floatToIntBits(). */
public final void putPixel(int x, int y, int value) {
if (x>=0 && x<width && y>=0 && y<height)
pixels[y*width + x] = Float.intBitsToFloat(value);
}
/** Stores the specified real value at (x,y). */
public void putPixelValue(int x, int y, double value) {
if (x>=0 && x<width && y>=0 && y<height)
pixels[y*width + x] = (float)value;
}
/** Returns the value of the pixel at (x,y) as a float. */
public float getPixelValue(int x, int y) {
if (x>=0 && x<width && y>=0 && y<height)
return pixels[y*width + x];
else
return 0f;
}
/** Draws a pixel in the current foreground color. */
public void drawPixel(int x, int y) {
if (x>=clipXMin && x<=clipXMax && y>=clipYMin && y<=clipYMax)
putPixel(x, y, Float.floatToIntBits(fillColor));
}
/** Returns a reference to the float array containing
this image's pixel data. */
public Object getPixels() {
return (Object)pixels;
}
boolean snapshotCopyMode;
/** Returns a copy of the pixel data. Or returns a reference to the
snapshot buffer if it is not null and 'snapshotCopyMode' is true.
@see ImageProcessor#snapshot
@see ImageProcessor#setSnapshotCopyMode
*/
public Object getPixelsCopy() {
if (snapshotCopyMode && snapshotPixels!=null) {
snapshotCopyMode = false;
return snapshotPixels;
} else {
float[] pixels2 = new float[width*height];
System.arraycopy(pixels, 0, pixels2, 0, width*height);
return pixels2;
}
}
void resetPixelsS(Object pixels) {
if (pixels==null) {
if (img!=null) {
img.flush();
img = null;
}
source = null;
}
newPixels = true;
source = null;
}
public void setPixels(Object pixels) {
this.pixels = (float[])pixels;
resetPixelsS(pixels);
if (pixels==null) snapshotPixels = null;
if (pixels==null) pixels8 = null;
}
/** Copies the image contained in 'ip' to (xloc, yloc) using one of
the transfer modes defined in the Blitter interface. */
public void copyBits(ImageProcessor ip, int xloc, int yloc, int mode) {
ip = ip.convertToFloat();
new FloatBlitter(toFloat(this)).copyBits(ip, xloc, yloc, mode);
}
public void applyTable(int[] lut) {}
private void process(int op, double value) {
float c, v1, v2;
boolean resetMinMax = roiWidth==width && roiHeight==height && !(op==FILL);
c = (float)value;
for (int y=roiY; y<(roiY+roiHeight); y++) {
int i = y * width + roiX;
for (int x=roiX; x<(roiX+roiWidth); x++) {
v1 = pixels[i];
switch(op) {
case INVERT:
v2 = max - (v1 - min);
break;
case FILL:
v2 = fillColor;
break;
case ADD:
v2 = v1 + c;
break;
case MULT:
v2 = v1 * c;
break;
case GAMMA:
if (v1<=0f)
v2 = 0f;
else
v2 = (float)Math.exp(c*Math.log(v1));
break;
case LOG:
if (v1<=0f)
v2 = 0f;
else
v2 = (float)Math.log(v1);
break;
case EXP:
v2 = (float)Math.exp(v1);
break;
case SQR:
v2 = v1*v1;
break;
case SQRT:
if (v1<=0f)
v2 = 0f;
else
v2 = (float)Math.sqrt(v1);
break;
case ABS:
v2 = (float)Math.abs(v1);
break;
case MINIMUM:
if (v1<value)
v2 = (float)value;
else
v2 = v1;
break;
case MAXIMUM:
if (v1>value)
v2 = (float)value;
else
v2 = v1;
break;
default:
v2 = v1;
}
pixels[i++] = v2;
}
}
if (resetMinMax)
findMinAndMax();
}
public void invert() {process(INVERT, 0.0);}
public void add(int value) {process(ADD, value);}
public void add(double value) {process(ADD, value);}
public void multiply(double value) {process(MULT, value);}
public void and(int value) {}
public void or(int value) {}
public void xor(int value) {}
public void gamma(double value) {process(GAMMA, value);}
public void log() {process(LOG, 0.0);}
public void exp() {process(EXP, 0.0);}
public void sqr() {process(SQR, 0.0);}
public void sqrt() {process(SQRT, 0.0);}
public void abs() {process(ABS, 0.0);}
public void min(double value) {process(MINIMUM, value);}
public void max(double value) {process(MAXIMUM, value);}
/** Fills the current rectangular ROI. */
public void fill() {process(FILL, 0.0);}
/** Fills pixels that are within roi and part of the mask.
Does nothing if the mask is not the same as the the ROI. */
public void fill(ImageProcessor mask) {
if (mask==null)
{fill(); return;}
int roiWidth=this.roiWidth, roiHeight=this.roiHeight;
int roiX=this.roiX, roiY=this.roiY;
if (mask.getWidth()!=roiWidth||mask.getHeight()!=roiHeight)
return;
byte[] mpixels = (byte[])mask.getPixels();
for (int y=roiY, my=0; y<(roiY+roiHeight); y++, my++) {
int i = y * width + roiX;
int mi = my * roiWidth;
for (int x=roiX; x<(roiX+roiWidth); x++) {
if (mpixels[mi++]!=0)
pixels[i] = fillColor;
i++;
}
}
}
/** Does 3x3 convolution. */
public void convolve3x3(int[] kernel) {
filter3x3(CONVOLVE, kernel);
}
/** Filters using a 3x3 neighborhood. */
public void filter(int type) {
filter3x3(type, null);
}
/** 3x3 filter operations, code partly based on 3x3 convolution code
* contributed by Glynne Casteel. */
void filter3x3(int type, int[] kernel) {
float v1, v2, v3; //input pixel values around the current pixel
float v4, v5, v6;
float v7, v8, v9;
float k1=0f, k2=0f, k3=0f; //kernel values (used for CONVOLVE only)
float k4=0f, k5=0f, k6=0f;
float k7=0f, k8=0f, k9=0f;
float scale = 0f;
if (type==CONVOLVE) {
k1=kernel[0]; k2=kernel[1]; k3=kernel[2];
k4=kernel[3]; k5=kernel[4]; k6=kernel[5];
k7=kernel[6]; k8=kernel[7]; k9=kernel[8];
for (int i=0; i<kernel.length; i++)
scale += kernel[i];
if (scale==0) scale = 1f;
scale = 1f/scale; //multiplication factor (multiply is faster than divide)
}
int inc = roiHeight/25;
if (inc<1) inc = 1;
float[] pixels2 = (float[])getPixelsCopy();
//float[] pixels2 = (float[])getPixelsCopy();
int xEnd = roiX + roiWidth;
int yEnd = roiY + roiHeight;
for (int y=roiY; y<yEnd; y++) {
int p = roiX + y*width; //points to current pixel
int p6 = p - (roiX>0 ? 1 : 0); //will point to v6, currently lower
int p3 = p6 - (y>0 ? width : 0); //will point to v3, currently lower
int p9 = p6 + (y<height-1 ? width : 0); // ... to v9, currently lower
v2 = pixels2[p3];
v5 = pixels2[p6];
v8 = pixels2[p9];
if (roiX>0) { p3++; p6++; p9++; }
v3 = pixels2[p3];
v6 = pixels2[p6];
v9 = pixels2[p9];
switch (type) {
case BLUR_MORE:
for (int x=roiX; x<xEnd; x++,p++) {
if (x<width-1) { p3++; p6++; p9++; }
v1 = v2; v2 = v3;
v3 = pixels2[p3];
v4 = v5; v5 = v6;
v6 = pixels2[p6];
v7 = v8; v8 = v9;
v9 = pixels2[p9];
pixels[p] = (v1+v2+v3+v4+v5+v6+v7+v8+v9)*0.11111111f; //0.111... = 1/9
}
break;
case FIND_EDGES:
for (int x=roiX; x<xEnd; x++,p++) {
if (x<width-1) { p3++; p6++; p9++; }
v1 = v2; v2 = v3;
v3 = pixels2[p3];
v4 = v5; v5 = v6;
v6 = pixels2[p6];
v7 = v8; v8 = v9;
v9 = pixels2[p9];
float sum1 = v1 + 2*v2 + v3 - v7 - 2*v8 - v9;
float sum2 = v1 + 2*v4 + v7 - v3 - 2*v6 - v9;
pixels[p] = (float)Math.sqrt(sum1*sum1 + sum2*sum2);
}
break;
case CONVOLVE:
for (int x=roiX; x<xEnd; x++,p++) {
if (x<width-1) { p3++; p6++; p9++; }
v1 = v2; v2 = v3;
v3 = pixels2[p3];
v4 = v5; v5 = v6;
v6 = pixels2[p6];
v7 = v8; v8 = v9;
v9 = pixels2[p9];
float sum = k1*v1 + k2*v2 + k3*v3
+ k4*v4 + k5*v5 + k6*v6
+ k7*v7 + k8*v8 + k9*v9;
sum *= scale;
pixels[p] = sum;
}
break;
}
if (y%inc==0)
showProgress((double)(y-roiY)/roiHeight);
}
showProgress(1.0);
}
/** Rotates the image or ROI 'angle' degrees clockwise.
@see ImageProcessor#setInterpolate
*/
public void rotate(double angle) {
float[] pixels2 = (float[])getPixelsCopy();
ImageProcessor ip2 = null;
if (interpolationMethod==BICUBIC)
ip2 = new FloatProcessor(getWidth(), getHeight(), pixels2, null);
double centerX = roiX + (roiWidth-1)/2.0;
double centerY = roiY + (roiHeight-1)/2.0;
int xMax = roiX + this.roiWidth - 1;
double angleRadians = -angle/(180.0/Math.PI);
double ca = Math.cos(angleRadians);
double sa = Math.sin(angleRadians);
double tmp1 = centerY*sa-centerX*ca;
double tmp2 = -centerX*sa-centerY*ca;
double tmp3, tmp4, xs, ys;
int index, ixs, iys;
if (interpolationMethod==BICUBIC) {
for (int y=roiY; y<(roiY + roiHeight); y++) {
index = y*width + roiX;
tmp3 = tmp1 - y*sa + centerX;
tmp4 = tmp2 + y*ca + centerY;
for (int x=roiX; x<=xMax; x++) {
xs = x*ca + tmp3;
ys = x*sa + tmp4;
pixels[index++] = (float)getBicubicInterpolatedPixel(xs, ys, ip2);
}
if (y%30==0) showProgress((double)(y-roiY)/roiHeight);
}
} else {
double dwidth=width,dheight=height;
double xlimit = width-1.0, xlimit2 = width-1.001;
double ylimit = height-1.0, ylimit2 = height-1.001;
for (int y=roiY; y<(roiY + roiHeight); y++) {
index = y*width + roiX;
tmp3 = tmp1 - y*sa + centerX;
tmp4 = tmp2 + y*ca + centerY;
for (int x=roiX; x<=xMax; x++) {
xs = x*ca + tmp3;
ys = x*sa + tmp4;
if ((xs>=-0.01) && (xs<dwidth) && (ys>=-0.01) && (ys<dheight)) {
if (interpolationMethod==BILINEAR) {
if (xs<0.0) xs = 0.0;
if (xs>=xlimit) xs = xlimit2;
if (ys<0.0) ys = 0.0;
if (ys>=ylimit) ys = ylimit2;
pixels[index++] = (float)getInterpolatedPixel(xs, ys, pixels2);
} else {
ixs = (int)(xs+0.5);
iys = (int)(ys+0.5);
if (ixs>=width) ixs = width - 1;
if (iys>=height) iys = height -1;
pixels[index++] = pixels2[width*iys+ixs];
}
} else
pixels[index++] = 0;
}
if (y%30==0)
showProgress((double)(y-roiY)/roiHeight);
}
}
showProgress(1.0);
}
public void flipVertical() {
int index1,index2;
float tmp;
for (int y=0; y<roiHeight/2; y++) {
index1 = (roiY+y)*width+roiX;
index2 = (roiY+roiHeight-1-y)*width+roiX;
for (int i=0; i<roiWidth; i++) {
tmp = pixels[index1];
pixels[index1++] = pixels[index2];
pixels[index2++] = tmp;
}
}
}
public void noise(double range) {
Random rnd=new Random();
for (int y=roiY; y<(roiY+roiHeight); y++) {
int i = y * width + roiX;
for (int x=roiX; x<(roiX+roiWidth); x++) {
float RandomBrightness = (float)(rnd.nextGaussian()*range);
pixels[i] = pixels[i] + RandomBrightness;
i++;
}
}
resetMinAndMax();
}
public ImageProcessor crop() {
ImageProcessor ip2 = createProcessor(roiWidth, roiHeight);
float[] pixels2 = (float[])ip2.getPixels();
for (int ys=roiY; ys<roiY+roiHeight; ys++) {
int offset1 = (ys-roiY)*roiWidth;
int offset2 = ys*width+roiX;
for (int xs=0; xs<roiWidth; xs++)
pixels2[offset1++] = pixels[offset2++];
}
return ip2;
}
/** Returns a duplicate of this image. */
public synchronized SerializableFloatProcessor duplicate() {
SerializableFloatProcessor ip2 = createProcessor(width, height);
float[] pixels2 = (float[])ip2.getPixels();
System.arraycopy(pixels, 0, pixels2, 0, width*height);
return ip2;
}
/** Scales the image or selection using the specified scale factors.
@see ImageProcessor#setInterpolate
*/
public void scale(double xScale, double yScale) {
double xCenter = roiX + roiWidth/2.0;
double yCenter = roiY + roiHeight/2.0;
int xmin, xmax, ymin, ymax;
if ((xScale>1.0) && (yScale>1.0)) {
//expand roi
xmin = (int)(xCenter-(xCenter-roiX)*xScale);
if (xmin<0) xmin = 0;
xmax = xmin + (int)(roiWidth*xScale) - 1;
if (xmax>=width) xmax = width - 1;
ymin = (int)(yCenter-(yCenter-roiY)*yScale);
if (ymin<0) ymin = 0;
ymax = ymin + (int)(roiHeight*yScale) - 1;
if (ymax>=height) ymax = height - 1;
} else {
xmin = roiX;
xmax = roiX + roiWidth - 1;
ymin = roiY;
ymax = roiY + roiHeight - 1;
}
float[] pixels2 = (float[])getPixelsCopy();
ImageProcessor ip2 = null;
if (interpolationMethod==BICUBIC)
ip2 = new FloatProcessor(getWidth(), getHeight(), pixels2, null);
boolean checkCoordinates = (xScale < 1.0) || (yScale < 1.0);
int index1, index2, xsi, ysi;
double ys, xs;
if (interpolationMethod==BICUBIC) {
for (int y=ymin; y<=ymax; y++) {
ys = (y-yCenter)/yScale + yCenter;
index1 = y*width + xmin;
for (int x=xmin; x<=xmax; x++) {
xs = (x-xCenter)/xScale + xCenter;
pixels[index1++] = (float)getBicubicInterpolatedPixel(xs, ys, ip2);
}
if (y%30==0) showProgress((double)(y-ymin)/height);
}
} else {
double xlimit = width-1.0, xlimit2 = width-1.001;
double ylimit = height-1.0, ylimit2 = height-1.001;
for (int y=ymin; y<=ymax; y++) {
ys = (y-yCenter)/yScale + yCenter;
ysi = (int)ys;
if (ys<0.0) ys = 0.0;
if (ys>=ylimit) ys = ylimit2;
index1 = y*width + xmin;
index2 = width*(int)ys;
for (int x=xmin; x<=xmax; x++) {
xs = (x-xCenter)/xScale + xCenter;
xsi = (int)xs;
if (checkCoordinates && ((xsi<xmin) || (xsi>xmax) || (ysi<ymin) || (ysi>ymax)))
pixels[index1++] = (float)min;
else {
if (interpolationMethod==BILINEAR) {
if (xs<0.0) xs = 0.0;
if (xs>=xlimit) xs = xlimit2;
pixels[index1++] = (float)getInterpolatedPixel(xs, ys, pixels2);
} else
pixels[index1++] = pixels2[index2+xsi];
}
}
if (y%30==0) showProgress((double)(y-ymin)/height);
}
}
showProgress(1.0);
}
/** Uses bilinear interpolation to find the pixel value at real coordinates (x,y). */
private final double getInterpolatedPixel(double x, double y, float[] pixels) {
int xbase = (int)x;
int ybase = (int)y;
double xFraction = x - xbase;
double yFraction = y - ybase;
int offset = ybase * width + xbase;
double lowerLeft = pixels[offset];
double lowerRight = pixels[offset + 1];
double upperRight = pixels[offset + width + 1];
double upperLeft = pixels[offset + width];
double upperAverage = upperLeft + xFraction * (upperRight - upperLeft);
double lowerAverage = lowerLeft + xFraction * (lowerRight - lowerLeft);
return lowerAverage + yFraction * (upperAverage - lowerAverage);
}
/** Creates a new FloatProcessor containing a scaled copy of this image or selection. */
public ImageProcessor resize(int dstWidth, int dstHeight) {
double srcCenterX = roiX + roiWidth/2.0;
double srcCenterY = roiY + roiHeight/2.0;
double dstCenterX = dstWidth/2.0;
double dstCenterY = dstHeight/2.0;
double xScale = (double)dstWidth/roiWidth;
double yScale = (double)dstHeight/roiHeight;
if (interpolationMethod!=NONE) {
dstCenterX += xScale/2.0;
dstCenterY += yScale/2.0;
}
ImageProcessor ip2 = createProcessor(dstWidth, dstHeight);
float[] pixels2 = (float[])ip2.getPixels();
double xs, ys;
if (interpolationMethod==BICUBIC) {
for (int y=0; y<=dstHeight-1; y++) {
ys = (y-dstCenterY)/yScale + srcCenterY;
int index = y*dstWidth;
for (int x=0; x<=dstWidth-1; x++) {
xs = (x-dstCenterX)/xScale + srcCenterX;
pixels2[index++] = (float)getBicubicInterpolatedPixel(xs, ys, this);
}
if (y%30==0) showProgress((double)y/dstHeight);
}
} else {
double xlimit = width-1.0, xlimit2 = width-1.001;
double ylimit = height-1.0, ylimit2 = height-1.001;
int index1, index2;
for (int y=0; y<=dstHeight-1; y++) {
ys = (y-dstCenterY)/yScale + srcCenterY;
if (interpolationMethod==BILINEAR) {
if (ys<0.0) ys = 0.0;
if (ys>=ylimit) ys = ylimit2;
}
index1 = width*(int)ys;
index2 = y*dstWidth;
for (int x=0; x<=dstWidth-1; x++) {
xs = (x-dstCenterX)/xScale + srcCenterX;
if (interpolationMethod==BILINEAR) {
if (xs<0.0) xs = 0.0;
if (xs>=xlimit) xs = xlimit2;
pixels2[index2++] = (float)getInterpolatedPixel(xs, ys, pixels);
} else
pixels2[index2++] = pixels[index1+(int)xs];
}
if (y%30==0) showProgress((double)y/dstHeight);
}
}
showProgress(1.0);
return ip2;
}
final double getBilinearInterpolatedPixelS(double x, double y) {
if (x>=-1 && x<width && y>=-1 && y<height) {
int method = interpolationMethod;
interpolationMethod = BILINEAR;
double value = getInterpolatedPixel(x, y);
interpolationMethod = method;
return value;
} else
return getBackgroundValue();
}
static final double a = 0.5; // Catmull-Rom interpolation
final double cubicS(double x) {
if (x < 0.0) x = -x;
double z = 0.0;
if (x < 1.0)
z = x*x*(x*(-a+2.0) + (a-3.0)) + 1.0;
else if (x < 2.0)
z = -a*x*x*x + 5.0*a*x*x - 8.0*a*x + 4.0*a;
return z;
}
/** This method is from Chapter 16 of "Digital Image Processing:
An Algorithmic Introduction Using Java" by Burger and Burge
(http://www.imagingbook.com/). */
public double getBicubicInterpolatedPixel(double x0, double y0, SerializableFloatProcessor ip2) {
int u0 = (int) Math.floor(x0); //use floor to handle negative coordinates too
int v0 = (int) Math.floor(y0);
if (u0<=0 || u0>=width-2 || v0<=0 || v0>=height-2)
return ip2.getBilinearInterpolatedPixelS(x0, y0);
double q = 0;
for (int j = 0; j <= 3; j++) {
int v = v0 - 1 + j;
double p = 0;
for (int i = 0; i <= 3; i++) {
int u = u0 - 1 + i;
p = p + ip2.getf(u,v) * cubicS(x0 - u);
}
q = q + p * cubicS(y0 - v);
}
return q;
}
/** Sets the foreground fill/draw color. */
public void setColor(Color color) {
int bestIndex = getBestIndex(color);
if (bestIndex>0 && getMin()==0.0 && getMax()==0.0) {
fillColor = bestIndex;
setMinAndMax(0.0,255.0);
} else if (bestIndex==0 && getMin()>0.0 && (color.getRGB()&0xffffff)==0)
fillColor = 0f;
else
fillColor = (float)(min + (max-min)*(bestIndex/255.0));
}
/** Sets the default fill/draw value. */
public void setValue(double value) {
fillColor = (float)value;
}
/** Does nothing. The rotate() and scale() methods always zero fill. */
public void setBackgroundValue(double value) {
}
/** Always returns 0. */
public double getBackgroundValue() {
return 0.0;
}
public void setThreshold(double minThreshold, double maxThreshold, int lutUpdate) {
if (minThreshold==NO_THRESHOLD)
{resetThreshold(); return;}
if (max>min) {
double minT = Math.round(((minThreshold-min)/(max-min))*255.0);
double maxT = Math.round(((maxThreshold-min)/(max-min))*255.0);
super.setThreshold(minT, maxT, lutUpdate); // update LUT
} else
super.resetThreshold();
this.minThreshold = minThreshold;
this.maxThreshold = maxThreshold;
}
/** Performs a convolution operation using the specified kernel. */
public void convolve(float[] kernel, int kernelWidth, int kernelHeight) {
snapshot();
FloatProcessor fp = this.toFloat(this);
new ij.plugin.filter.Convolver().convolve(fp, kernel, kernelWidth, kernelHeight);
this.pixels = (float []) fp.getPixels();
}
/** Not implemented. */
public void threshold(int level) {}
/** Not implemented. */
public void autoThreshold() {}
/** Not implemented. */
public void medianFilter() {}
/** Not implemented. */
public int[] getHistogram() {return null;}
/** Not implemented. */
public void erode() {}
/** Not implemented. */
public void dilate() {}
/** Returns this FloatProcessor.
* @param channelNumber Ignored (needed for compatibility with ColorProcessor.toFloat)
* @param fp Ignored (needed for compatibility with the other ImageProcessor types).
* @return This FloatProcessor
*/
public FloatProcessor toFloat(int channelNumber, FloatProcessor fp) {
return new FloatProcessor(width, height, pixels, cm);
}
/** Returns this FloatProcessor.
* @param fp Ignored (needed for compatibility with the other ImageProcessor types).
* @return This FloatProcessor
*/
public FloatProcessor toFloat(SerializableFloatProcessor fp) {
return new FloatProcessor(this.width, this.height, this.pixels, this.cm);
}
/** Sets the pixels, and min&max values from a FloatProcessor.
* Also the values are taken from the FloatProcessor.
* @param channelNumber Ignored (needed for compatibility with ColorProcessor.toFloat)
* @param fp The FloatProcessor where the image data are read from.
*/
public void setPixels(int channelNumber, FloatProcessor fp) {
if (fp.getPixels() != getPixels())
setPixels(fp.getPixels());
setMinAndMax(fp.getMin(), fp.getMax());
}
/** Returns the smallest possible positive nonzero pixel value. */
public double minValue() {
return Float.MIN_VALUE;
}
/** Returns the largest possible positive finite pixel value. */
public double maxValue() {
return Float.MAX_VALUE;
}
public int getWidth(){
return width;
}
public int getHeight(){
return height;
}
/** Not implemented. */
public void swapPixelArrays() { }
}