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package imageprocessing;
import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.image.BufferedImage;
import java.awt.image.ColorModel;
import java.awt.image.Raster;
import java.awt.image.renderable.ParameterBlock;
import java.io.File;
import java.io.IOException;
import javax.media.jai.JAI;
import javax.media.jai.KernelJAI;
import javax.media.jai.PlanarImage;
import javax.swing.JFrame;
import javax.swing.JScrollPane;
import com.sun.media.jai.widget.DisplayJAI;
public class ImageNM {
private PlanarImage image;
private String imagename;
private int width, height;
private int size;
private ColorModel cm;
public ImageNM(File imagefileHandle) {
try {
this.imagename = imagefileHandle.getCanonicalPath();
} catch (IOException e) {
e.printStackTrace();
}
try {
image = readImage(imagename);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
width = image.getWidth();
height = image.getHeight();
size = width * height;
}
public ImageNM(String filename) {
imagename = filename;
try {
image = readImage(filename);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
width = image.getWidth();
height = image.getHeight();
size = width * height;
}
public ImageNM(BufferedImage imbuf) {
imagename = "temp";
// 1st solution BufferedImage --> PlanarImage
// ParameterBlock pb = new ParameterBlock();
// pb.add(imbuf);
//
// image = (PlanarImage) JAI.create("awtImage", pb);
// 2nd solution BufferedImage --> PlanarImage
image = PlanarImage.wrapRenderedImage(imbuf);
width = imbuf.getWidth();
height = imbuf.getHeight();
size = width * height;
}
public ImageNM(PlanarImage plimage, String plimagename) {
imagename = plimagename;
image = plimage;
width = plimage.getWidth();
height = plimage.getHeight();
size = width * height;
}
public ImageNM(PlanarImage plimage) {
imagename = "temp";
image = plimage;
width = plimage.getWidth();
height = plimage.getHeight();
size = width * height;
}
public PlanarImage readImage(String filename) throws IOException {
PlanarImage image = JAI.create("fileload", filename);
return image;
}
public void writeImage(PlanarImage imageout, String nameout) {
JAI.create("filestore", imageout, nameout);
}
public void displayImage() {
JFrame frame = new JFrame("Image " + imagename);
frame.setSize(width, height);
Container contentPane = frame.getContentPane();
contentPane.setLayout(new BorderLayout());
DisplayJAI dj = new DisplayJAI(image);
contentPane.add(new JScrollPane(dj), BorderLayout.CENTER);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.setVisible(true);
}
public int[] getPixel(int x, int y) {
int[] pixel = new int[image.getNumBands()];
image.getData().getPixel(x, y, pixel);
return pixel;
}
public int[] getGrayPixels(int x, int y, int w, int h) {
Raster raster = image.getData();
if (raster.getNumBands() == 3) {
PlanarImage grayImage = convert2GrayLevel();
Raster rastergray = grayImage.getData();
int[] pixels = new int[(w - x) * (h - y)];
rastergray.getPixels(x, y, w, h, pixels);
return pixels;
} else {
int[] graypixels = new int[(w - x) * (h - y)];
raster.getPixels(x, y, w, h, graypixels);
return graypixels;
}
}
public int[] getRGBPixels(int x, int y, int w, int h) {
Raster raster = image.getData();
if (raster.getNumBands() == 1) {
return getGrayPixels(x,y,w,h);
} else {
int pixels[][] = new int[raster.getNumBands()][(w - x) * (h - y)];
// added
int rgbpixels[] = new int[(w - x) * (h - y)];
for (int i = 0; i < raster.getNumBands(); i++) {
raster.getSamples(x, y, w, h, i, pixels[i]);
}
for (int i = 0; i < (w - x) * (h - y); i++) {
rgbpixels[i] = (pixels[0][i] << 16) | (pixels[1][i] << 8)
| (pixels[2][i]);
}
return rgbpixels;
}
}
public PlanarImage blurImage() {
float[] kernelData = { 1.0F / 14.0F, 2.0F / 14.0F, 1.0F / 14.0F,
2.0F / 14.0F, 2.0F / 14.0F, 2.0F / 14.0F, 1.0F / 14.0F,
2.0F / 14.0F, 1.0F / 14.0F };
KernelJAI kernel = new KernelJAI(3, 3, kernelData);
PlanarImage result = JAI.create("convolve", image, kernel);
return result;
}
public PlanarImage convolveByMoyen3x3() {
float[] kernelData = { 1.0F, 1.0F, 1.0F, 1.0F, 1.0F, 1.0F, 1.0F, 1.0F,
1.0F };
KernelJAI kernel = new KernelJAI(3, 3, kernelData);
PlanarImage result = JAI.create("convolve", image, kernel);
return result;
}
public PlanarImage convolveByGaussian() {
float[] kernelData = { 0.7F / 256F, 3.3F / 256F, 5.5F / 256F,
3.3F / 256F, 0.7F / 256F, 3.3F / 256F, 15.0F / 256F,
24.7F / 256F, 15F / 256F, 3.3F / 256F, 5.5F / 256F,
24.7F / 256F, 40.7F / 256F, 24.7F / 256F, 5.5F / 256F,
3.3F / 256F, 15.0F / 256F, 24.7F / 256F, 15F / 256F,
3.3F / 256F, 0.7F / 256F, 3.3F / 256F, 5.5F / 256F,
3.3F / 256F, 0.7F / 256F };
KernelJAI kernel = new KernelJAI(5, 5, kernelData);
PlanarImage result = JAI.create("convolve", image, kernel);
return result;
}
public PlanarImage convolveByLaplacian() {
float[] kernelData = { 0.0F, -1.0F, 0.0F, -1.0F, 4.0F, -1.0F, 0.0F,
-1.0F, 0.0F };
KernelJAI kernel = new KernelJAI(3, 3, kernelData);
PlanarImage result = JAI.create("convolve", image, kernel);
return result;
}
/**
* Filtre de SobelX
* @return l'image modifi�e
*/
public PlanarImage SobelX()
{
float data_v[] = new float[]
{
1.0F , 1.414F , 1.0F ,
0.0F , 0.0F , 0.0F ,
1.0F , 1.414F , 1.0F
};
//KernelJAI kernel = new KernelJAI(3, 3, 1, 1, data_v);
KernelJAI kernel = new KernelJAI(3,3,data_v);
PlanarImage result = JAI.create("convolve", image, kernel);
return result;
}
/**
* Filtre de SobelY
* @return l'image modifi�e
*/
public PlanarImage SobelY()
{
float data_h[] = new float[]
{
1.0F , 0.0F , -1.0F,
1.414F, 0.0F , -1.414F,
1.0F , 0.0F , -1.0F
};
//KernelJAI kernel = new KernelJAI(3, 3, 1, 1, data_v);
KernelJAI kernel = new KernelJAI(3,3,data_h);
PlanarImage result = JAI.create("convolve", image, kernel);
return result;
}
public PlanarImage edgesByRoberts() {
float[] data_h = {0.0F, 0.0F, 0.0F, 0.0F, 0.0F, 1.0F, 0.0F, -1.0F,
0.0F };
float[] data_v = {0.0F, 0.0F, 0.0F, 0.0F, -1.0F, 1.0F, 0.0F, 0.0F,
1.0F };
KernelJAI kern_h = new KernelJAI(3,3,data_h);
KernelJAI kern_v = new KernelJAI(3,3,data_v);
PlanarImage result = JAI.create("gradientmagnitude", image, kern_h, kern_v);
return result;
}
public PlanarImage edgesByPrewitt() {
float[] data_h = {-1.0F, 0.0F, 1.0F, -1.0F, 0.0F, 1.0F, -1.0F, 0.0F,
1.0F };
float[] data_v = {-1.0F, -1.0F, -1.0F, 0.0F, 0.0F, 0.0F, 1.0F, 1.0F,
1.0F };
KernelJAI kern_h = new KernelJAI(3,3,data_h);
KernelJAI kern_v = new KernelJAI(3,3,data_v);
PlanarImage result = JAI.create("gradientmagnitude", image, kern_h, kern_v);
return result;
}
/**
* Filtre de SobelXY
* @return l'image modifiée
*/
public PlanarImage edgesBySobel()
{
float data_h[] = new float[]
{
1.0F , 0.0F , -1.0F,
1.414F, 0.0F , -1.414F,
1.0F , 0.0F , -1.0F
};
float data_v[] = new float[]
{
1.0F , 1.414F , 1.0F ,
0.0F , 0.0F , 0.0F ,
1.0F , 1.414F , 1.0F
};
KernelJAI kern_h = new KernelJAI(3,3,data_h);
KernelJAI kern_v = new KernelJAI(3,3,data_v);
//operation de detection de contour
PlanarImage result ;
return result = (PlanarImage)JAI.create("gradientmagnitude",image, kern_h, kern_v);
}
public PlanarImage convert2GrayLevel() {
Raster raster = image.getData();
if (raster.getNumBands() == 3) {
double[][] matrix = { { 0.114, 0.587, 0.299, 0.0 } };
// Create the ParameterBlock.
ParameterBlock pb = new ParameterBlock();
pb.addSource(image);
pb.add(matrix);
// Perform the convolution
PlanarImage result = (PlanarImage) JAI.create("bandcombine", pb, null);
return result;
}
else{
throw new IllegalArgumentException("Image # bands <> 3");
}
}
public int getHeight() {
return height;
}
public PlanarImage getImage() {
return image;
}
public String getImagename() {
return imagename;
}
public int getWidth() {
return width;
}
public static void main(String[] args) {
ImageNM image = new ImageNM("lena_b&w.jpg");
image.displayImage();
ImageNM imageconvolved = new ImageNM(image.edgesByPrewitt());
imageconvolved.displayImage();
}
} |