java opencv 亮度剔除

根据提供的引用内容，以下是使用Java和OpenCV进行亮度剔除的示例代码：

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

public class BrightnessRemoval {
    public static void main(String[] args) {
        // 加载OpenCV库
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

        // 读取图像
        Mat image = Imgcodecs.imread("input.jpg");

        // 将图像转换为灰度图像
        Mat grayImage = new Mat();
        Imgproc.cvtColor(image, grayImage, Imgproc.COLOR_BGR2GRAY);

        // 计算图像的直方图
        Mat hist = new Mat();
        Imgproc.calcHist(
                new MatOfMat(grayImage),
                new MatOfInt(0),
                new Mat(),
                hist,
                new MatOfInt(256),
                new MatOfFloat(0, 256)
        );

        // 计算亮度阈值
        int threshold = calculateThreshold(hist);

        // 应用亮度阈值
        Mat thresholdedImage = new Mat();
        Imgproc.threshold(grayImage, thresholdedImage, threshold, 255, Imgproc.THRESH_BINARY);

        // 保存结果图像
        Imgcodecs.imwrite("output.jpg", thresholdedImage);
    }

    private static int calculateThreshold(Mat hist) {
        int totalPixels = hist.rows() * hist.cols();
        float sum = 0;
        for (int i = 0; i < hist.rows(); i++) {
            float binValue = (float) hist.get(i, 0)[0];
            sum += i * binValue;
        }
        float sumB = 0;
        int wB = 0;
        int wF = 0;
        float varMax = 0;
        int threshold = 0;
        for (int i = 0; i < hist.rows(); i++) {
            wB += hist.get(i, 0)[0];
            if (wB == 0) {
                continue;
            }
            wF = totalPixels - wB;
            if (wF == 0) {
                break;
            }
            sumB += i * hist.get(i, 0)[0];
            float mB = sumB / wB;
            float mF = (sum - sumB) / wF;
            float varBetween = wB * wF * (mB - mF) * (mB - mF);
            if (varBetween > varMax) {
                varMax = varBetween;
                threshold = i;
            }
        }
        return threshold;
    }
}

请注意，上述代码假设您已经正确配置了Java和OpenCV，并且将输入图像命名为"input.jpg"。代码将生成一个二进制图像，其中亮度高于阈值的像素将被设置为255，于阈值的像素将被设置为0，并将结果保存为".jpg"。