帮我写代码 细节是 基于OpenCV For Android 用 java 实现平移不变量小波变换算法

好的，我非常乐意帮您写代码。以下是基于OpenCV For Android用Java实现平移不变量小波变换算法的代码：

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.core.DMatch;
import org.opencv.core.DMatchVector;
import org.opencv.core.MatOfDMatch;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.ORB;
import org.opencv.features2d.KeyPoint;

public class TranslateInvariantWaveletTransform {
   public static void main( String[] args ) {
      //读入原始图像
      Mat src = Imgcodecs.imread("input.jpg", Imgcodecs.IMREAD_GRAYSCALE);

      //计算水平上的 Haar小波变换
      MatOfKeyPoint keypoints = new MatOfKeyPoint();
      Size srcSize = new Size(src.cols(), src.rows());
      float blockSize = (float) (srcSize.width * 0.25);
      ORB orb = ORB.create(500, 1.2f, 8, 31, 0, 2, ORB.HARRIS_SCORE, 31, 20);
      orb.detect(src, keypoints);
      
      //提取特征点
      Mat descriptors = new Mat();
      orb.compute(src, keypoints, descriptors);

      //计算匹配点集
      MatOfDMatch matches = new MatOfDMatch();
      DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
      matcher.match(descriptors, matches);

      //筛选出最佳匹配的三个点，计算它们之间的距离
      DMatch[] matchesArray = matches.toArray();
      DMatch[] bestMatches = new DMatch[3];
      float[] bestDistances = { Float.MAX_VALUE, Float.MAX_VALUE, Float.MAX_VALUE };

      for (int i = 0; i < matchesArray.length; i++) {
         DMatch currentMatch = matchesArray[i];
         int trainIndex = currentMatch.trainIdx;
         float distance = currentMatch.distance;

         if (distance < bestDistances[0]) {
            bestDistances[2] = bestDistances[1];
            bestDistances[1] = bestDistances[0];
            bestDistances[0] = distance;
            bestMatches[2] = bestMatches[1];
            bestMatches[1] = bestMatches[0];
            bestMatches[0] = currentMatch;
         } else if (distance < bestDistances[1]) {
            bestDistances[2] = bestDistances[1];
            bestDistances[1] = distance;
            bestMatches[2] = bestMatches[1];
            bestMatches[1] = currentMatch;
         } else if (distance < bestDistances[2]) {
            bestDistances[2] = distance;
            bestMatches[2] = currentMatch;
         }
      }

      //计算这三个最佳匹配点的平均水平移动距离，得到小波变换需移动的距离
      float dx = (bestMatches[0].trainIdx + bestMatches[1].trainIdx + bestMatches[2].trainIdx) / 3.0f;

      //执行小波变换，dx为水平移动距离
      Mat shiftedSrc = Mat.zeros(srcSize, CvType.CV_32F);
      Core.add(src, new Scalar(-128), src);
      Imgproc.resize(src, shiftedSrc, new Size(srcSize.width, srcSize.height + (int) dx));
      Mat wavelet = Mat.zeros(shiftedSrc.size(), shiftedSrc.type());
      Imgproc.dwt(shiftedSrc, wavelet, Imgproc.CV_DXT_FORWARD);

      //输出结果
      Imgcodecs.imwrite("output.jpg", wavelet);
   }
}

希望这能够帮到您！如果您有任何其他问题或请求，请随时告诉我。