java+opencv4.5.0 实现获取照片所有红色区域

要实现获取照片所有红色区域，需要使用Java语言和OpenCV 4.5.0库。

以下是实现步骤：

1. 导入OpenCV库：

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

2. 读取图像文件：

Mat image = Imgcodecs.imread("path/to/image.jpg");

3. 将图像转换为HSV颜色空间：

Mat hsvImage = new Mat();
Imgproc.cvtColor(image, hsvImage, Imgproc.COLOR_BGR2HSV);

4. 定义红色的HSV颜色范围：

Scalar lowerRed = new Scalar(0, 100, 100);
Scalar upperRed = new Scalar(10, 255, 255);
Scalar lowerRed2 = new Scalar(160, 100, 100);
Scalar upperRed2 = new Scalar(179, 255, 255);

5. 对图像进行颜色阈值处理，提取红色区域：

Mat mask1 = new Mat();
Core.inRange(hsvImage, lowerRed, upperRed, mask1);

Mat mask2 = new Mat();
Core.inRange(hsvImage, lowerRed2, upperRed2, mask2);

Mat mask = new Mat();
Core.add(mask1, mask2, mask);

6. 对二值化图像进行形态学操作，去除噪声：

Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(5, 5));
Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_OPEN, kernel);
Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_CLOSE, kernel);

7. 在原始图像中绘制红色区域：

Mat result = new Mat();
image.copyTo(result, mask);

完整的代码如下：

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

public class RedAreaDetector {
    static {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    }

    public static void main(String[] args) {
        Mat image = Imgcodecs.imread("path/to/image.jpg");

        Mat hsvImage = new Mat();
        Imgproc.cvtColor(image, hsvImage, Imgproc.COLOR_BGR2HSV);

        Scalar lowerRed = new Scalar(0, 100, 100);
        Scalar upperRed = new Scalar(10, 255, 255);
        Scalar lowerRed2 = new Scalar(160, 100, 100);
        Scalar upperRed2 = new Scalar(179, 255, 255);

        Mat mask1 = new Mat();
        Core.inRange(hsvImage, lowerRed, upperRed, mask1);

        Mat mask2 = new Mat();
        Core.inRange(hsvImage, lowerRed2, upperRed2, mask2);

        Mat mask = new Mat();
        Core.add(mask1, mask2, mask);

        Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(5, 5));
        Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_OPEN, kernel);
        Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_CLOSE, kernel);

        Mat result = new Mat();
        image.copyTo(result, mask);

        Imgcodecs.imwrite("path/to/result.jpg", result);
    }
}

注意，前提是你已经安装好了OpenCV 4.5.0库，并将其配置到Java项目中。