public PlanarImage gridToEmage(double[][] dataGrid, String imageName) throws IOException {
// creates a gray-scale image of the values
int width = dataGrid[0].length;
int height = dataGrid.length;
// Get the number of bands on the image.
URL imgURL = new URL(Config.getProperty("imgURL"));
PlanarImage dummyImage = JAI.create("URL", imgURL); // dummy loaded. date to be edited.
SampleModel sm = dummyImage.getSampleModel();
int nbands = sm.getNumBands();
// We assume that we can get the pixels values in a integer array.
double[] pixelTemp = new double[nbands];
// Get an iterator for the image.
RandomIterFactory.create(dummyImage, null);
WritableRaster rasterData =
RasterFactory.createBandedRaster(
DataBuffer.TYPE_BYTE, width, height, nbands, new Point(0, 0));
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
dataGrid[i][j] = (dataGrid[i][j] <= 255) ? dataGrid[i][j] : 255;
pixelTemp[0] = dataGrid[i][j];
pixelTemp[1] = dataGrid[i][j];
pixelTemp[2] = dataGrid[i][j];
rasterData.setPixel(j, i, pixelTemp);
}
}
SampleModel sModel2 =
RasterFactory.createBandedSampleModel(DataBuffer.TYPE_BYTE, width, height, nbands);
// Try to create a compatible ColorModel - if the number of bands is
// larger than 4, it will be null.
ColorModel cModel2 = PlanarImage.createColorModel(sModel2);
// Create a TiledImage using the sample and color models.
TiledImage rectImage = new TiledImage(0, 0, width, height, 0, 0, sModel2, cModel2);
// Set the data of the tiled image to be the raster.
rectImage.setData(rasterData);
// Save the image on a file.
try {
ImageIO.write(rectImage, "jpg", new File(imageName + ".jpg"));
log.info("debug save image : " + imageName + ".jpg");
} catch (IOException e) {
log.error(e.getMessage());
log.error("Error in rectifying image");
}
return rectImage;
}
public PlanarImage PostProcessEmage(PlanarImage img) {
if (maskImgFName != null) {
int width = img.getWidth();
int height = img.getHeight();
// Get the number of bands on the image.
SampleModel sm = img.getSampleModel();
int nbands = sm.getNumBands();
// We assume that we can get the pixels values in a integer array.
double[] pixel = new double[nbands];
// Get an iterator for the image.
RandomIter iterator = RandomIterFactory.create(img, null);
WritableRaster rasterImage =
RasterFactory.createBandedRaster(
DataBuffer.TYPE_BYTE, width, height, nbands, new Point(0, 0));
double[] pixelNeighb = new double[nbands];
double[] pixelblack = new double[nbands];
for (int i = 0; i < nbands; i++) {
pixelNeighb[i] = 0;
pixelblack[i] = 0;
}
PlanarImage mask = JAI.create("FileLoad", maskImgFName);
RandomIter iteratorMask = RandomIterFactory.create(mask, null);
double[] pixelMask = new double[mask.getSampleModel().getNumBands()];
for (int i = 0; i < width; i++) {
for (int j = 0; j < height; j++) {
iteratorMask.getPixel(i, j, pixelMask);
if (!isBlack(pixelMask)) {
iterator.getPixel(i, j, pixel);
if (isWhite(pixel)) {;
} else {
rasterImage.setPixel(i, j, pixel);
}
} else {
rasterImage.setPixel(i, j, pixelblack);
}
}
}
SampleModel sModel2 =
RasterFactory.createBandedSampleModel(DataBuffer.TYPE_BYTE, width, height, nbands);
// Try to create a compatible ColorModel - if the number of bands is
// larger than 4, it will be null.
ColorModel cModel2 = PlanarImage.createColorModel(sModel2);
// Create a TiledImage using the sample and color models.
TiledImage processedImage = new TiledImage(0, 0, width, height, 0, 0, sModel2, cModel2);
// Set the data of the tiled image to be the raster.
processedImage.setData(rasterImage);
// Save the image to a file.
try {
ImageIO.write(processedImage, "jpg", new File("proc_" + theme + ".jpg"));
} catch (IOException e) {
log.error(e.getMessage());
}
// Save the image on a file.
return processedImage;
} else {
// Save the image to a file.
try {
ImageIO.write(img, "jpg", new File("NOTproc_" + theme + ".jpg"));
} catch (IOException e) {
log.error(e.getMessage());
}
return img;
}
}
public PlanarImage createRectifiedImage(PlanarImage Image) {
int nRows = params.getNumOfRows();
int nCols = params.getNumOfColumns();
Point rectifiedPoint;
// Get the image dimensions of the unrectified image
int width = Image.getWidth();
int height = Image.getHeight();
log.info(nRows + ", " + nCols + "\t" + width + ", " + height);
// Get an iterator for the image.
RandomIter iterator = RandomIterFactory.create(Image, null);
// Get the number of bands on the image.
SampleModel smO = Image.getSampleModel();
int nbandsO = smO.getNumBands();
// We assume that we can get the pixels values in a integer array.
double[] pixelO = new double[nbandsO];
// Get an iterator for the image.
WritableRaster rasterPollenO =
RasterFactory.createBandedRaster(
DataBuffer.TYPE_BYTE, nCols, nRows, nbandsO, new Point(0, 0));
for (int i = 0; i < nCols; i++) {
for (int j = 0; j < nRows; j++) {
rectifiedPoint =
this.getMatchingCoord(
new Point(i + 1, j + 1)); // coz java array start at 0 matlab its 1.
if (rectifiedPoint.x >= 1
&& rectifiedPoint.x < width
&& rectifiedPoint.y >= 1
&& rectifiedPoint.y < height) {
iterator.getPixel(rectifiedPoint.x - 1, rectifiedPoint.y - 1, pixelO);
rasterPollenO.setPixel(i, j, pixelO);
// log.info("setpixel: " + i + ", " + j + ", value " + pixelO[0] + ", " + pixelO[1] + ",
// " + pixelO[2] + ", " + pixelO[3]);
} else {
}
}
}
SampleModel sModel2 =
RasterFactory.createBandedSampleModel(DataBuffer.TYPE_BYTE, nCols, nRows, nbandsO);
// Try to create a compatible ColorModel - if the number of bands is
// larger than 4, it will be null.
ColorModel cModel2 = PlanarImage.createColorModel(sModel2);
// Create a TiledImage using the sample and color models.
TiledImage rectPollenImage = new TiledImage(0, 0, nCols, nRows, 0, 0, sModel2, cModel2);
// log.info(rasterPollenO.getMinX() + ", " + rasterPollenO.getMinY() );
// Set the data of the tiled image to be the raster.
rectPollenImage.setData(rasterPollenO);
// Save the image to a file.
try {
ImageIO.write(rectPollenImage, "jpg", new File("rect" + theme + ".jpg"));
} catch (IOException e) {
log.error(e.getMessage());
}
return rectPollenImage;
}
