图片搜索（java实现）

package cn.edu.jxau.image; import java.awt.Color; import java.awt.image.BufferedImage; import java.awt.image.ColorModel; /** * 图像的放大与缩小 * @author xiaoxu * */ public class AmplificatingShrinking { /** * 双线性插值法图像的放大 * @param srcPath * @param distPath * @param formatName * @param k1 * @param k2 */ public static void bilinearityInterpolation(String srcPath, String distPath, String formatName, float k1, float k2) { BufferedImage img = ImageDigital.readImg(srcPath); BufferedImage imgOut = bilinearityInterpolation(img, k1, k2); ImageDigital.writeImg(imgOut, formatName, distPath); } /** * 双线性插值法图像的放大 * * @param img * 要缩小的图像对象 * @param k1 * 要缩小的列比列 * @param k2 * 要缩小的行比列 * @return 返回处理后的图像对象 */ public static BufferedImage bilinearityInterpolation(BufferedImage img, float k1, float k2) { if (k1 < 1 || k2 < 1) {// 如果k1 <1 || k2<1则是图片缩小，不是放大 System.err .println("this is shrink image funcation, please set k1<=1 and k2<=1！"); return null; } float ii = 1 / k1; // 采样的行间距 float jj = (1 / k2); // 采样的列间距 int dd = (int) (ii * jj); // int m=0 , n=0; int imgType = img.getType(); int w = img.getWidth(); // 原图片的宽 int h = img.getHeight(); // 原图片的宽 int m = Math.round(k1 * w); // 放大后图片的宽 int n = Math.round(k2 * h); // 放大后图片的宽 int[] pix = new int[w * h]; pix = img.getRGB(0, 0, w, h, pix, 0, w); /* * System.out.println(w + " * " + h); System.out.println(m + " * " + n); */ int[] newpix = new int[m * n]; for (int j = 0; j < h - 1; j++) { for (int i = 0; i < w - 1; i++) { int x0 = Math.round(i * k1); int y0 = Math.round(j * k2); int x1, y1; if (i == w - 2) { x1 = m - 1; } else { x1 = Math.round((i + 1) * k1); } if (j == h - 2) { y1 = n - 1; } else { y1 = Math.round((j + 1) * k2); } int d1 = x1 - x0; int d2 = y1 - y0; if (0 == newpix[y0 * m + x0]) { newpix[y0 * m + x0] = pix[j * w + i]; } if (0 == newpix[y0 * m + x1]) { if (i == w - 2) { newpix[y0 * m + x1] = pix[j * w + w - 1]; } else { newpix[y0 * m + x1] = pix[j * w + i + 1]; } } if (0 == newpix[y1 * m + x0]) { if (j == h - 2) { newpix[y1 * m + x0] = pix[(h - 1) * w + i]; } else { newpix[y1 * m + x0] = pix[(j + 1) * w + i]; } } if (0 == newpix[y1 * m + x1]) { if (i == w - 2 && j == h - 2) { newpix[y1 * m + x1] = pix[(h - 1) * w + w - 1]; } else { newpix[y1 * m + x1] = pix[(j + 1) * w + i + 1]; } } int r, g, b; float c; ColorModel cm = ColorModel.getRGBdefault(); for (int l = 0; l < d2; l++) { for (int k = 0; k < d1; k++) { if (0 == l) { // f(x,0) = f(0,0) + c1*(f(1,0)-f(0,0)) if (j < h - 1 && newpix[y0 * m + x0 + k] == 0) { c = (float) k / d1; r = cm.getRed(newpix[y0 * m + x0]) + (int) (c * (cm.getRed(newpix[y0 * m + x1]) - cm.getRed(newpix[y0 * m + x0])));// newpix[(y0+l)*m // + k] g = cm.getGreen(newpix[y0 * m + x0]) + (int) (c * (cm.getGreen(newpix[y0 * m + x1]) - cm.getGreen(newpix[y0 * m + x0]))); b = cm.getBlue(newpix[y0 * m + x0]) + (int) (c * (cm.getBlue(newpix[y0 * m + x1]) - cm.getBlue(newpix[y0 * m + x0]))); newpix[y0 * m + x0 + k] = new Color(r, g, b) .getRGB(); } if (j + 1 < h && newpix[y1 * m + x0 + k] == 0) { c = (float) k / d1; r = cm.getRed(newpix[y1 * m + x0]) + (int) (c * (cm.getRed(newpix[y1 * m + x1]) - cm.getRed(newpix[y1 * m + x0]))); g = cm.getGreen(newpix[y1 * m + x0]) + (int) (c * (cm.getGreen(newpix[y1 * m + x1]) - cm.getGreen(newpix[y1 * m + x0]))); b = cm.getBlue(newpix[y1 * m + x0]) + (int) (c * (cm.getBlue(newpix[y1 * m + x1]) - cm.getBlue(newpix[y1 * m + x0]))); newpix[y1 * m + x0 + k] = new Color(r, g, b) .getRGB(); } // System.out.println(c); } else { // f(x,y) = f(x,0) + c2*f(f(x,1)-f(x,0)) c = (float) l / d2; r = cm.getRed(newpix[y0 * m + x0 + k]) + (int) (c * (cm.getRed(newpix[y1 * m + x0 + k]) - cm.getRed(newpix[y0 * m + x0 + k]))); g = cm.getGreen(newpix[y0 * m + x0 + k]) + (int) (c * (cm.getGreen(newpix[y1 * m + x0 + k]) - cm.getGreen(newpix[y0 * m + x0 + k]))); b = cm.getBlue(newpix[y0 * m + x0 + k]) + (int) (c * (cm.getBlue(newpix[y1 * m + x0 + k]) - cm.getBlue(newpix[y0 * m + x0 + k]))); newpix[(y0 + l) * m + x0 + k] = new Color(r, g, b) .getRGB(); // System.out.println((int)(c*(cm.getRed(newpix[y1*m // + x0+k]) - cm.getRed(newpix[y0*m + x0+k])))); } } if (i == w - 2 || l == d2 - 1) { // 最后一列的计算 // f(1,y) = f(1,0) + c2*f(f(1,1)-f(1,0)) c = (float) l / d2; r = cm.getRed(newpix[y0 * m + x1]) + (int) (c * (cm.getRed(newpix[y1 * m + x1]) - cm .getRed(newpix[y0 * m + x1]))); g = cm.getGreen(newpix[y0 * m + x1]) + (int) (c * (cm.getGreen(newpix[y1 * m + x1]) - cm .getGreen(newpix[y0 * m + x1]))); b = cm.getBlue(newpix[y0 * m + x1]) + (int) (c * (cm.getBlue(newpix[y1 * m + x1]) - cm .getBlue(newpix[y0 * m + x1]))); newpix[(y0 + l) * m + x1] = new Color(r, g, b).getRGB(); } } } } /* * for(int j=0; j<50; j++){ for(int i=0; i<50; i++) { * System.out.print(new Color(newpix[j*m + i]).getRed() + "\t"); } * System.out.println(); } */ BufferedImage imgOut = new BufferedImage(m, n, imgType); imgOut.setRGB(0, 0, m, n, newpix, 0, m); return imgOut; } /** * 双立方插值 * * @param srcPath * 原图像的路径 * @param destPath * 目标图像的路径 * @param formatName * 图像文件格式 * @param k1 * 图像的宽放大比例 * @param k2 * 图像的高放大比例 */ /*public static void biCubicInterpolationScale(String srcPath, String destPath, String formatName, float k1, float k2) { BufferedImage img = ImageDigital.readImg(srcPath); int w = img.getWidth(); int h = img.getHeight(); int destW = Math.round(w * k1); int destH = Math.round(h * k2); int pix[] = new int[w * h]; int type = img.getType(); img.getRGB(0, 0, w, h, pix, 0, w); int[] newpix = BiCubicInterpolationScale.imgScale(pix, w, h, destW, destH); BufferedImage imgOut = new BufferedImage(destW, destH, type); imgOut.setRGB(0, 0, destW, destH, newpix, 0, destW); ImageDigital.writeImg(imgOut, formatName, destPath); }*/ /** * 等间隔采样的图像放大(缩小) * * @param img * 要放大(缩小)的图像对象 * @param k1 * 要放大(缩小)的列比列 * @param k2 * 要放大(缩小)的行比列 * @return 返回处理后的图像对象 */ public static BufferedImage flex(BufferedImage img, float k1, float k2) { float ii = 1 / k1; // 采样的行间距 float jj = 1 / k2; // 采样的列间距 // int m=0 , n=0; int imgType = img.getType(); int w = img.getWidth(); int h = img.getHeight(); int m = (int) (k1 * w); int n = (int) (k2 * h); int[] pix = new int[w * h]; pix = img.getRGB(0, 0, w, h, pix, 0, w); System.out.println(w + " * " + h); System.out.println(m + " * " + n); int[] newpix = new int[m * n]; for (int j = 0; j < n; j++) { for (int i = 0; i < m; i++) { newpix[j