目前我正在开发图像处理项目,我正在使用
javacv开发图像处理组件.我能够提取图像的一些有趣的部分,现在我需要读取这些对象的x和y坐标.
这是我提出的形象
这是我提出的形象
我需要识别这些对象,并绘制这些对象的方块.我经历了一些教程,并尝试使用以下代码识别对象.
@H_404_5@IplImage img="sourceimage"; CvSize sz = cvSize(img.width(),img.height()); IplImage gry=cvCreateImage(sz,img.depth(),1); cvCvtColor(img,gry,CV_BGR2GRAY); cvThreshold(gry,200,250,CV_THRESH_BINARY); CvMemStorage mem = CvMemStorage.create(); CvSeq contours = new CvSeq(); CvSeq ptr = new CvSeq(); cvFindContours(gry,mem,contours,Loader.sizeof(CvContour.class),CV_RETR_CCOMP,CV_CHAIN_APPROX_SIMPLE,cvPoint(0,0)); CvRect boundBox; for (ptr = contours; ptr != null; ptr = ptr.h_next()) { boundBox = cvBoundingRect(ptr,0); if(boundBox.height()>10||boundBox.height()>10){ cvRectangle( gry,cvPoint( boundBox.x(),boundBox.y() ),cvPoint( boundBox.x() + boundBox.width(),boundBox.y() + boundBox.height()),CvScalar.BLUE,0 ); System.out.println(boundBox.x()+","+boundBox.y()); } } cvShowImage("contures",gry); cvWaitKey(0);但是它不会在对象周围绘制为矩形.我想知道是否可以使用cvFindContours方法来识别这些对象？请问有人可以解释如何使用javacv / opencv归档我的目标？
解决方法
尝试通过以下代码,它将为您的问题提供答案.
@H_404_5@IplImage img=cvLoadImage("pathtosourceimage");
CvSize cvSize = cvSize(img.width(),img.height());
IplImage gry=cvCreateImage(cvSize,255,CV_THRESH_BINARY);
cvAdaptiveThreshold(gry,CV_ADAPTIVE_THRESH_MEAN_C,CV_THRESH_BINARY_INV,11,5);
CvMemStorage storage = CvMemStorage.create();
CvSeq contours = new CvContour(null);
int noOfContors = cvFindContours(gry,storage,CV_CHAIN_APPROX_NONE,new CvPoint(0,0));
CvSeq ptr = new CvSeq();
int count =1;
CvPoint p1 = new CvPoint(0,0),p2 = new CvPoint(0,0);
for (ptr = contours; ptr != null; ptr = ptr.h_next()) {
CvScalar color = CvScalar.BLUE;
CvRect sq = cvBoundingRect(ptr,0);
System.out.println("Contour No ="+count);
System.out.println("X ="+ sq.x()+" Y="+ sq.y());
System.out.println("Height ="+sq.height()+" Width ="+sq.width());
System.out.println("");
p1.x(sq.x());
p2.x(sq.x()+sq.width());
p1.y(sq.y());
p2.y(sq.y()+sq.height());
cvRectangle(img,p1,p2,CV_RGB(255,2,8,0);
cvDrawContours(img,ptr,color,CV_RGB(0,-1,CV_FILLED,0));
count++;
}
cvShowImage("contures",img);
cvWaitKey(0);
这是我给出的给定图像的输出.
