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我正在试验 JavaCV (OpenCV)，我对以下行为感到困惑。我的程序很简单：

  1. 抓取图像
  2. 创建图像的灰度版本（保持原始图像不变）
  3. 阈值灰度图像
  4. 在灰度图像中查找轮廓（克隆图像，因为 cvFindContours 修改了图像，我们希望按原样显示）
  5. 在原始彩色图像上绘制轮廓

问题是除非我克隆grabbedImage（见注释行），否则灰度图像会被修改并在其上绘制轮廓。此外，就好像在grabbedImage.

我还尝试在循环中添加一个睡眠，它解决了这个问题。难道我grabbedImage多次得到相同（修改）？我检查了java参考，它是不同的，但它可以是同一个缓冲区吗？

任何想法？

谢谢

package com.mdarveau.opencvtest;

import static com.googlecode.javacv.cpp.opencv_core.*;
import static com.googlecode.javacv.cpp.opencv_imgproc.*;

import com.googlecode.javacpp.Loader;
import com.googlecode.javacv.CanvasFrame;
import com.googlecode.javacv.FrameGrabber;
import com.googlecode.javacv.cpp.opencv_core.CvContour;
import com.googlecode.javacv.cpp.opencv_core.CvMemStorage;
import com.googlecode.javacv.cpp.opencv_core.CvScalar;
import com.googlecode.javacv.cpp.opencv_core.CvSeq;
import com.googlecode.javacv.cpp.opencv_core.IplImage;
import com.googlecode.javacv.cpp.opencv_objdetect;

public class Demo {

    public static void main( String[] args ) throws Exception {
        // Preload the opencv_objdetect module to work around a known bug.
        Loader.load( opencv_objdetect.class );

        FrameGrabber grabber = FrameGrabber.createDefault( 1 );
        grabber.start();

        IplImage grabbedImage = grabber.grab();
        int width = grabbedImage.width();
        int height = grabbedImage.height();

        IplImage grayImage = IplImage.create( width, height, IPL_DEPTH_8U, 1 );

        CvMemStorage storage = CvMemStorage.create();

        CanvasFrame filterProbe = new CanvasFrame( "Filtered", CanvasFrame.getDefaultGamma() / grabber.getGamma() );
        CanvasFrame enhancedProbe = new CanvasFrame( "Enhanced", CanvasFrame.getDefaultGamma() / grabber.getGamma() );

        while ( filterProbe.isVisible() && enhancedProbe.isVisible() && (grabbedImage = grabber.grab()) != null ) {
            cvClearMemStorage( storage );

            // Convert to grayscale image...
            cvCvtColor( grabbedImage, grayImage, CV_BGR2GRAY );
            // UNCOMMENT FIXES THE PROBLEM grabbedImage = grabbedImage.clone();

            // Let's find some contours! but first some thresholding...
            cvThreshold( grayImage, grayImage, 128, 255, CV_THRESH_BINARY );

            // To check if an output argument is null we may call either isNull() or equals(null).
            CvSeq contour = new CvSeq( null );
            // cvFindContours modifies the image so clone it first since we want to keep the grayscale version
            cvFindContours( grayImage.clone(), storage, contour, Loader.sizeof( CvContour.class ), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE );
            while ( contour != null && !contour.isNull() ) {
                if ( contour.elem_size() > 0 ) {
                    CvSeq points = cvApproxPoly( contour, Loader.sizeof( CvContour.class ), storage, CV_POLY_APPROX_DP, cvContourPerimeter( contour ) * 0.02, 0 );
                    cvDrawContours( grabbedImage, points, CvScalar.BLUE, CvScalar.BLUE, -1, 1 /*CV_FILLED*/, CV_AA );
                }
                contour = contour.h_next();
            }

            filterProbe.showImage( grayImage );
            enhancedProbe.showImage( grabbedImage );
        }
        filterProbe.dispose();
        enhancedProbe.dispose();
        grabber.stop();
    }
}
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1 回答 1

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这是cvFindContours()的预期行为：

该函数在提取轮廓的同时修改图像。

于 2013-01-05T05:40:25.187 回答