Java實現圖片去噪和灰度的類
阿新 • • 發佈:2019-01-04
用於實現對圖片去噪和灰度化。
package org.eye; import java.awt.Color; import java.awt.color.ColorSpace; import java.awt.image.BufferedImage; import java.awt.image.ColorConvertOp; import java.io.File; import java.io.IOException; import javax.imageio.ImageIO; public class ClearImageHelper { /** * * @param sfile * 需要去噪的影象 * @param destDir * 去噪後的影象儲存地址 * @throws IOException */ public static void cleanImage(File sfile, String destDir)throws IOException{ File destF = new File(destDir); if (!destF.exists()){ destF.mkdirs(); } BufferedImage bufferedImage = ImageIO.read(sfile); int h = bufferedImage.getHeight(); int w = bufferedImage.getWidth(); // 灰度化 int[][] gray = new int[w][h]; for (int x = 0; x < w; x++){ for (int y = 0; y < h; y++){ int argb = bufferedImage.getRGB(x, y); // 影象加亮(調整亮度識別率非常高) int r = (int) (((argb >> 16) & 0xFF) * 1.1 + 30); int g = (int) (((argb >> 8) & 0xFF) * 1.1 + 30); int b = (int) (((argb >> 0) & 0xFF) * 1.1 + 30); if (r >= 255){ r = 255; } if (g >= 255){ g = 255; } if (b >= 255){ b = 255; } gray[x][y] = (int) Math.pow((Math.pow(r, 2.2) * 0.2973 + Math.pow(g, 2.2)* 0.6274 + Math.pow(b, 2.2) * 0.0753), 1 / 2.2); } } // 二值化 int threshold = ostu(gray, w, h); BufferedImage binaryBufferedImage = new BufferedImage(w, h,BufferedImage.TYPE_BYTE_BINARY); for (int x = 0; x < w; x++){ for (int y = 0; y < h; y++){ if (gray[x][y] > threshold){ gray[x][y] |= 0x00FFFF; } else{ gray[x][y] &= 0xFF0000; } binaryBufferedImage.setRGB(x, y, gray[x][y]); } } // 矩陣列印 for (int y = 0; y < h; y++){ for (int x = 0; x < w; x++){ if (isBlack(binaryBufferedImage.getRGB(x, y))){ System.out.print("*"); } else{ System.out.print(" "); } } System.out.println(); } ImageIO.write(binaryBufferedImage, "jpg", new File(destDir, sfile.getName())); } public static boolean isBlack(int colorInt){ Color color = new Color(colorInt); if (color.getRed() + color.getGreen() + color.getBlue() <= 300){ return true; } return false; } public static boolean isWhite(int colorInt){ Color color = new Color(colorInt); if (color.getRed() + color.getGreen() + color.getBlue() > 300){ return true; } return false; } public static int isBlackOrWhite(int colorInt){ if (getColorBright(colorInt) < 30 || getColorBright(colorInt) > 730){ return 1; } return 0; } public static int getColorBright(int colorInt){ Color color = new Color(colorInt); return color.getRed() + color.getGreen() + color.getBlue(); } public static int ostu(int[][] gray, int w, int h){ int[] histData = new int[w * h]; // Calculate histogram for (int x = 0; x < w; x++){ for (int y = 0; y < h; y++){ int red = 0xFF & gray[x][y]; histData[red]++; } } // Total number of pixels int total = w * h; float sum = 0; for (int t = 0; t < 256; t++) sum += t * histData[t]; float sumB = 0; int wB = 0; int wF = 0; float varMax = 0; int threshold = 0; for (int t = 0; t < 256; t++){ wB += histData[t]; // Weight Background if (wB == 0) continue; wF = total - wB; // Weight Foreground if (wF == 0) break; sumB += (float) (t * histData[t]); float mB = sumB / wB; // Mean Background float mF = (sum - sumB) / wF; // Mean Foreground // Calculate Between Class Variance float varBetween = (float) wB * (float) wF * (mB - mF) * (mB - mF); // Check if new maximum found if (varBetween > varMax){ varMax = varBetween; threshold = t; } } return threshold; } //圖片灰度,黑白 public static void gray(String srcImageFile, String destImageFile) { try { BufferedImage src = ImageIO.read(new File(srcImageFile)); ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY); ColorConvertOp op = new ColorConvertOp(cs, null); src = op.filter(src, null); ImageIO.write(src, "JPEG", new File(destImageFile)); } catch (IOException e) { e.printStackTrace(); } } public static void main(String[] args) throws IOException{ /*File testDataDir = new File("testdata"); final String destDir = testDataDir.getAbsolutePath()+"/tmp"; for (File file : testDataDir.listFiles()){ cleanImage(file, destDir); }*/ File testDataDir = new File("D:\\tmp\\3VG5B.jpg");//去噪 String destDir ="D:\\tmp\\tmp"; cleanImage(testDataDir, destDir); //gray("D:\\tmp\\3VG5B.jpg","D:\\tmp\\3VG5B1.jpg");//灰度化 } }