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POAndroid bitmap to bufferedimage
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copied!<p>Is there a simple way to convert a Bitmap image datatype to a BufferedImage?</p> <p>I need a bitmap image scaled to 224*224 to be converted into a BufferedImage in order to do pixel comparisons between two BufferedImages.</p> <p>I've been trying to develop a simple facial recognition class that would take 2 bitmap images (taken from the android camera) and compare them using a local binary pattern recognition algorithm. source code for image comparison:</p> <pre><code>import java.awt.image.*; import java.awt.color.ColorSpace; public class ImageEncode { public static boolean facialRecognition(BufferedImage i, BufferedImage i2) { int currentPixelValue, newPixelValue; int[][] imageArray = new int[224][224], imageArray2 = new int[224][224], lbpArray = new int[224][224], lbpArray2 = new int[224][224], histogram = new int[9][256], histogram2 = new int[9][256]; //input pictures, resize to 224x224 BufferedImage image = i; BufferedImage image2 = i2; //convert to gray scale ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY); ColorConvertOp op = new ColorConvertOp(cs, null); image = op.filter(image, null); image2=op.filter(image2, null); //gaussian filter Kernel kernel = new Kernel(3,3, new float[] { 1f/9f, 1f/9f, 1f/9f, 1f/9f, 1f/9f, 1f/9f, 1f/9f, 1f/9f, 1f/9f}); BufferedImageOp op2 = new ConvolveOp(kernel); image = op2.filter(image, null); image2= op2.filter(image2, null); //convert images to pixel value array for(int row=0; row<=223; row++){ for(int col=0; col<=223; col++){ imageArray[row][col]=image.getRGB(row, col); imageArray2[row][col]=image2.getRGB(row, col); } } //perform lbp calculations for(int row=1; row<223; row++){ for(int col=1; col<223; col++){ currentPixelValue=imageArray[row][col]; newPixelValue=0; if(imageArray[row-1][col-1]>currentPixelValue) newPixelValue=newPixelValue+1; if(imageArray[row-1][col]>currentPixelValue) newPixelValue=newPixelValue+2; if(imageArray[row-1][col+1]>currentPixelValue) newPixelValue=newPixelValue+4; if(imageArray[row][col+1]>currentPixelValue) newPixelValue=newPixelValue+8; if(imageArray[row+1][col+1]>currentPixelValue) newPixelValue=newPixelValue+16; if(imageArray[row+1][col]>currentPixelValue) newPixelValue=newPixelValue+32; if(imageArray[row+1][col-1]>currentPixelValue) newPixelValue=newPixelValue+64; if(imageArray[row][col-1]>currentPixelValue) newPixelValue=newPixelValue+128; lbpArray[row][col]=newPixelValue; } } for(int row=1; row<223; row++){ for(int col=1; col<223; col++){ currentPixelValue=imageArray2[row][col]; newPixelValue=0; if(imageArray2[row-1][col-1]>currentPixelValue) newPixelValue=newPixelValue+1; if(imageArray2[row-1][col]>currentPixelValue) newPixelValue=newPixelValue+2; if(imageArray2[row-1][col+1]>currentPixelValue) newPixelValue=newPixelValue+4; if(imageArray2[row][col+1]>currentPixelValue) newPixelValue=newPixelValue+8; if(imageArray2[row+1][col+1]>currentPixelValue) newPixelValue=newPixelValue+16; if(imageArray2[row+1][col]>currentPixelValue) newPixelValue=newPixelValue+32; if(imageArray2[row+1][col-1]>currentPixelValue) newPixelValue=newPixelValue+64; if(imageArray2[row][col-1]>currentPixelValue) newPixelValue=newPixelValue+128; lbpArray2[row][col]=newPixelValue; } } //create histograms for(int row=1; row<=222; row++){ for(int col=1; col<=222; col++){ if(row<75 && col<75) histogram[0][imageArray[row][col]]++; if(row<75 && col>74 && col<149) histogram[1][imageArray[row][col]]++; if(row<75 && col>148 && col<223) histogram[2][imageArray[row][col]]++; if(row>74 && row<149 && col<75) histogram[3][imageArray[row][col]]++; if(row>74 && row<149 && col>75 && col<149) histogram[4][imageArray[row][col]]++; if(row>74 && row<149 && col>148 && col<223) histogram[5][imageArray[row][col]]++; if(row>148 && row<223 && col<75) histogram[6][imageArray[row][col]]++; if(row>148 && row<223 && col>74 && col<149) histogram[7][imageArray[row][col]]++; if(row>148 && row<223 && col>148 && col<223) histogram[8][imageArray[row][col]]++; } } for(int row=1; row<=222; row++){ for(int col=1; col<=222; col++){ if(row<75 && col<75) histogram2[0][imageArray2[row][col]]++; if(row<75 && col>74 && col<149) histogram2[1][imageArray2[row][col]]++; if(row<75 && col>148 && col<223) histogram2[2][imageArray2[row][col]]++; if(row>74 && row<149 && col<75) histogram2[3][imageArray2[row][col]]++; if(row>74 && row<149 && col>75 && col<149) histogram2[4][imageArray2[row][col]]++; if(row>74 && row<149 && col>148 && col<223) histogram2[5][imageArray2[row][col]]++; if(row>148 && row<223 && col<75) histogram2[6][imageArray2[row][col]]++; if(row>148 && row<223 && col>74 && col<149) histogram2[7][imageArray2[row][col]]++; if(row>148 && row<223 && col>148 && col<223) histogram2[8][imageArray2[row][col]]++; } } //Compare histograms for(int k=0; k<=8; k++){ for(int j=0; j<=255; j++){ if((((histogram[k][j])*0.1)+histogram[k][j]) < histogram2[k][j] || (histogram[k][j]-((histogram[k][j])*0.1)) > histogram2[k][j]){ return false; } } } return true; } } </code></pre>

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