openCV任意几何形状感兴趣区域（ROI）提取

1、openCV任意何形状感兴趣区域（ROI）提取图像感兴趣区域（ROI）提取主要使掩模来进。掩模是值图像，感兴趣区域的掩模值设置为255，感兴趣区域的掩模值为0获取掩模的法主要有两种法 使opencv中Mat函数法,调Mat(Rect).setTo法设置掩模mask(rect).setTo(255);123法 在全为0的原始掩模中画个封闭区域，使漫填充算法填充封闭区域，将封闭区域的值都设置为255，实现掩模的提取下对矩形、椭圆，有向的矩形，轮廓进提取1.矩形感兴趣区域提取（1）调Mat(Rect).setTo法设置掩模使法对矩形感兴趣区域进提取例代码如下：#include#includeusin

2、g namespace cv;/1MAT 255int main()Mat mask = Mat:zeros(image.size(), CV_8UC1);Rect rect;rect.x = 100;rect.y = 100;Mat img2;return 0;（2）使漫填充算法获取矩形ROI思路：1）新建个值全为零的掩模图像（全是的，值为0）2）在掩模图像上画出矩形的边界（边界值为255）3）选取矩形的中作为种点，使漫填充算法将矩形的内部填充为（255），最后得到掩模图像，使掩模实现感兴趣区域提取。#includerectangle(mask, rect, Scalar(255);Poin

3、t seed;return 0;任意何形状 ROI提取任意何形状感兴趣区域的提取主要使法。提取的关键是画出何形状的边界。（1）旋转的矩形（CvBox2D）、椭圆(RotatedRect)、圆的感兴趣区域的提取例代码如下：#include#includeusing namespace cv;#define WIDTH 256#define HEIGHT 256void DrawBox(CvBox2D box, IplImage* img)for (i = 0; i4; i+)cvBoxPoints(box, point); /计算维盒顶点Mat image = imread(dot_link_1

4、1.jpg);1.CvBox2D）/IplImage* imask = &IplImage(mask);/DrawBox(box,imask);3.画圆Point center;center.x = 100;center.y = 100;float radius = 50;circle(mask, center, radius, Scalar(255);Point seed;seed.x = center.x;seed.y = center.y;/漫填充/pi的值表为 v(pi),if v(seed)-loDiffv(pi)v(seed)+upDiff, pinewValfloodFill(m

5、ask, seed, 255, NULL, cvScalarAll(0), cvScalarAll(0), CV_FLOODFILL_FIXED_RANGE);image.copyTo(maskImage, mask);imshow(mask, mask);imshow(img2, maskImage);waitKey();（2）感兴趣区域为轮廓的提取思路：1）调opencv的画图函数cvLine将轮廓中相邻的点连接为区域2）获取轮廓中，使漫填充算法填充例代码如下：#includereturn;CvPoint* prePoint = (CvPoint*)cvGetSeqElem(seq, 0)

6、;CvPoint* lastPoint = (CvPoint*)cvGetSeqElem(seq, seq-total - 1);cvLine(grayImage, *prePoint, *lastPoint,cvScalar(255), 1, 8, 0);for (int i = 1; itotal; i+) p = (CvPoint*)cvGetSeqElem(seq, i);/cvSet2D(img, p-y, p-x, color);/4255int main()Mat image=imread(dot_link_11.jpg);Mat mask = Mat:zeros(image.s

7、ize(), CV_8UC1);CvMemStorage* storage = cvCreateMemStorage(0);/ CvSeq* contour = cvCreateSeq(CV_SEQ_ELTYPE_POINT, sizeof(CvSeq), sizeof(CvPoint), storage);CvSeqWriter writer;cvStartWriteSeq(CV_32SC2, sizeof(CvSeq), sizeof(CvPoint),storage,&writer);CV_WRITE_SEQ_ELEM(p2, writer);CV_WRITE_SEQ_ELEM(p3, writer);CV_WRITE_SEQ_ELEM(p4, writer);CV_WRITE_SEQ_ELEM(p5, writer);cvFlushSeqWriter(&writer);CvSeq* contour = cvEndWriteSeq(&writer);printf(contour.size=%d, contour-total);IplImage* imask = &IplImage(mask);IplImage* iimage =