我现在正在研究同样的问题并有第一个解决方案。
有很多方法,但不幸的是大多数方法都很丑陋且缓慢。
到目前为止,我的主要目标是留在 JavaCV/OpenCV 世界中。
这些链接将我推向了正确的方向:
- OpenCV 中的 Blob 提取 https://stackoverflow.com/questions/4641817/blob-extraction-in-opencv
- http://voices.yahoo.com/connected-components-using-opencv-5462975.html?cat=15 http://voices.yahoo.com/connected-components-using-opencv-5462975.html?cat=15
- http://opencv.willowgarage.com/documentation/cpp/structural_analysis_and_shape_descriptors.html#cv-findcontours http://opencv.willowgarage.com/documentation/cpp/structural_analysis_and_shape_descriptors.html#cv-findcontours
这是一个完整的演示类,应该向您展示它是如何完成的。
尝试使用带有简单对象和尖角的黑色背景图像,以获得最佳效果。请务必检查上面的第二个链接以了解代码中发生的情况。
import static com.googlecode.javacpp.Loader.sizeof;
import static com.googlecode.javacv.cpp.opencv_core.CV_FILLED;
import static com.googlecode.javacv.cpp.opencv_core.CV_RGB;
import static com.googlecode.javacv.cpp.opencv_core.IPL_DEPTH_8U;
import static com.googlecode.javacv.cpp.opencv_core.cvCreateImage;
import static com.googlecode.javacv.cpp.opencv_core.cvCreateMemStorage;
import static com.googlecode.javacv.cpp.opencv_core.cvDrawContours;
import static com.googlecode.javacv.cpp.opencv_core.cvGetSize;
import static com.googlecode.javacv.cpp.opencv_core.cvPoint;
import static com.googlecode.javacv.cpp.opencv_highgui.cvLoadImage;
import static com.googlecode.javacv.cpp.opencv_highgui.cvSaveImage;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_BGR2GRAY;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_CHAIN_APPROX_SIMPLE;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_RETR_CCOMP;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_THRESH_BINARY;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvCvtColor;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvFindContours;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvThreshold;
import java.awt.Color;
import java.util.Random;
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;
/**
* A demo for blob extraction using only JavaCV / OpenCV
* @see https://stackoverflow.com/questions/4641817/blob-extraction-in-opencv
* @see http://voices.yahoo.com/connected-components-using-opencv-5462975.html?cat=15
* @see http://opencv.willowgarage.com/documentation/cpp/structural_analysis_and_shape_descriptors.html#cv-findcontours
* @author happyburnout
*/
public class JavaCVBlobDemo {
static String sourcePath = "c:/test/source.jpg";
static String targetPath = "c:/test/target.jpg";
public static void main (String args[]){
IplImage image = cvLoadImage(sourcePath);
IplImage grayImage = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
cvCvtColor(image, grayImage, CV_BGR2GRAY);
CvMemStorage mem;
CvSeq contours = new CvSeq();
CvSeq ptr = new CvSeq();
cvThreshold(grayImage, grayImage, 150, 255, CV_THRESH_BINARY);
mem = cvCreateMemStorage(0);
cvFindContours(grayImage, mem, contours, sizeof(CvContour.class) , CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0));
Random rand = new Random();
for (ptr = contours; ptr != null; ptr = ptr.h_next()) {
Color randomColor = new Color(rand.nextFloat(), rand.nextFloat(), rand.nextFloat());
CvScalar color = CV_RGB( randomColor.getRed(), randomColor.getGreen(), randomColor.getBlue());
cvDrawContours(image, ptr, color, CV_RGB(0,0,0), -1, CV_FILLED, 8, cvPoint(0,0));
}
cvSaveImage(targetPath, image);
}
}