java边缘轮廓提取_matlab 提取图像轮廓（图像边缘提取）

对于Java，可以使用JavaCV库进行边缘检测和轮廓提取。JavaCV是一个基于OpenCV和FFmpeg的Java接口库，可以用于图像和视频处理。以下是一个简单的JavaCV边缘检测和轮廓提取的示例代码：

import org.bytedeco.javacpp.opencv_core.*;
import org.bytedeco.javacpp.opencv_imgcodecs;
import org.bytedeco.javacpp.opencv_imgproc;

public class EdgeDetectionExample {
    public static void main(String[] args) {
        // Load image
        Mat image = opencv_imgcodecs.imread("input.jpg");

        // Convert to grayscale
        Mat grayImage = new Mat();
        opencv_imgproc.cvtColor(image, grayImage, opencv_imgproc.CV_BGR2GRAY);

        // Apply Canny edge detection
        Mat edges = new Mat();
        opencv_imgproc.Canny(grayImage, edges, 100, 200);

        // Find contours
        MatVector contours = new MatVector();
        Mat hierarchy = new Mat();
        opencv_imgproc.findContours(edges, contours, hierarchy, opencv_imgproc.CV_RETR_EXTERNAL, opencv_imgproc.CV_CHAIN_APPROX_SIMPLE);

        // Draw contours on original image
        Mat result = new Mat();
        opencv_core.Scalar color = new opencv_core.Scalar(0, 255, 0, 0);
        opencv_imgproc.drawContours(image, contours, -1, color, 2, opencv_imgproc.LINE_8, hierarchy, 0, new opencv_core.Point());

        // Save result
        opencv_imgcodecs.imwrite("output.jpg", image);
    }
}

对于Matlab，可以使用以下代码进行图像边缘提取：

% Load image
image = imread('input.jpg');

% Convert to grayscale
grayImage = rgb2gray(image);

% Apply edge detection using Canny method
edges = edge(grayImage, 'canny');

% Find contours
[B,L] = bwboundaries(edges, 'noholes');

% Draw contours on original image
imshow(image);
hold on;
for i=1:length(B)
    boundary = B{i};
    plot(boundary(:,2), boundary(:,1), 'g', 'LineWidth', 2);
end

这里使用了Canny边缘检测方法和bwboundaries函数来提取轮廓。在显示轮廓时，使用了plot函数绘制轮廓边界。