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POImage Normalization in Java
 

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  1. POImage Normalization in Java
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    <p>I have been working on finger image processing and I am currently want to do Normalization.</p> <p>I have studied this link on <a href="http://www.griaulebiometrics.com/en-us/book/understanding-biometrics/types/enhancement/normalization" rel="nofollow">Griuale Biometric website</a>.</p> <p>The idea of normalization consist in changing the intensity of each pixel so that mean and variance of the whole image are changed to some predefined values.</p> <p>Could any suggest me any example code or algorithm in java that can help me.</p> <p><strong>EDIT:</strong></p> <p>I am taking image pixel's <code>MEAN</code> and <code>VARIANCE</code> into account for the image normalization:</p> <p>Here is my code:</p> <pre><code>public class NormalizeHistMeanVariance { private static BufferedImage original, normalize; public static void main(String[] args) throws IOException { final int N = 256; // Number of graylevels final int M = 250; // Max value in histogram for displaying purposes int nrows, ncols, size, in_img[][], out_img[][]; int i, j, max, maxgray; double hist[] = new double[N], norm, mean, var, tmp; String f1 = "E:/single.jpg"; String f2 = "E:/normImg"; File original_f = new File(f1); original = ImageIO.read(original_f); Histogram histogram = new Histogram(original); in_img = histogram.getPixels(original); nrows = in_img.length; ncols = in_img[0].length; size = in_img.length * in_img[0].length; // Compute average gray and histogram for (i = 0; i &lt; N; i++) hist[i] = 0; mean = 0; for (i = 0; i &lt; nrows; i++) { for (j = 0; j &lt; ncols; j++) { hist[in_img[i][j]]++; mean += in_img[i][j]; } } mean /= size; System.out.println("Mean graylevel = " + mean); // Compute variance var = 0; for (i = 0; i &lt; nrows; i++) { for (j = 0; j &lt; ncols; j++) { tmp = in_img[i][j] - mean; var += tmp * tmp; } } var = Math.sqrt(var / (size)); System.out.println("Variance = " + var); max = maxgray = 0; for (i = 0; i &lt; N; i++) { if (max &lt; hist[i]) { max = (int) hist[i]; maxgray = i; } } System.out.println("Max count " + max + " (graylevel = " + maxgray + " )"); // Normalize to M for better display effect norm = (double) M / maxgray; System.out.println("Norm = " + norm); out_img = new int[nrows][ncols]; for (int x = 0; x &lt; in_img.length; x++) { for (int y = 0; y &lt; in_img[0].length; y++) { out_img[x][y] = (int) (in_img[x][y] * norm); } } normalize = ImageUtils.CreateImagefromIntArray(out_img); writeImage(f2); } private static void writeImage(String output) throws IOException { File file = new File(output + ".jpg"); ImageIO.write(normalize, "jpg", file); } } </code></pre> <p>What i want is smooth image after normalization like in this <a href="http://www.griaulebiometrics.com/en-us/book/understanding-biometrics/types/enhancement/normalization" rel="nofollow">link</a>. But I am not getting desired result. Could anyone help me?</p>
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    1. COYou should have enough rep. to know that SO is not a code factory, and is not for vague questions. -1
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    2. COSO is not a human-powered google.com
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    3. CO@AndrewThompson I have updated the question.
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