图像的轮廓检测
2016-06-15 20:46
357 查看
//图像的轮廓检测
//By MoreWindows (http://blog.csdn.net/MoreWindows)
#include <opencv2/opencv.hpp>
using namespace std;
#pragma comment(linker, "/subsystem:\"windows\" /entry:\"mainCRTStartup\"")
int main( int argc, char** argv )
{
const char *pstrWindowsSrcTitle = "原图(http://blog.csdn.net/MoreWindows)";
const char *pstrWindowsOutLineTitle = "轮廓图(http://blog.csdn.net/MoreWindows)";
const int IMAGE_WIDTH = 400;
const int IMAGE_HEIGHT = 200;
// 创建图像
IplImage *pSrcImage = cvCreateImage(cvSize(IMAGE_WIDTH, IMAGE_HEIGHT), IPL_DEPTH_8U, 3);
// 填充成白色
cvRectangle(pSrcImage, cvPoint(0, 0), cvPoint(pSrcImage->width, pSrcImage->height), CV_RGB(255, 255, 255), CV_FILLED);
// 画圆
CvPoint ptCircleCenter = cvPoint(IMAGE_WIDTH / 4, IMAGE_HEIGHT / 2);
int nRadius = 80;
cvCircle(pSrcImage, ptCircleCenter, nRadius, CV_RGB(255, 255, 0), CV_FILLED);
ptCircleCenter = cvPoint(IMAGE_WIDTH / 4, IMAGE_HEIGHT / 2);
nRadius = 30;
cvCircle(pSrcImage, ptCircleCenter, nRadius, CV_RGB(255, 255, 255), CV_FILLED);
// 画矩形
CvPoint ptLeftTop = cvPoint(IMAGE_WIDTH / 2 + 20, 20);
CvPoint ptRightBottom = cvPoint(IMAGE_WIDTH - 20, IMAGE_HEIGHT - 20);
cvRectangle(pSrcImage, ptLeftTop, ptRightBottom, CV_RGB(0, 255, 255), CV_FILLED);
ptLeftTop = cvPoint(IMAGE_WIDTH / 2 + 60, 40);
ptRightBottom = cvPoint(IMAGE_WIDTH - 60, IMAGE_HEIGHT - 40);
cvRectangle(pSrcImage, ptLeftTop, ptRightBottom, CV_RGB(255, 255, 255), CV_FILLED);
// 显示原图
cvNamedWindow(pstrWindowsSrcTitle, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsSrcTitle, pSrcImage);
// 转为灰度图
IplImage *pGrayImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1);
cvCvtColor(pSrcImage, pGrayImage, CV_BGR2GRAY);
// 转为二值图
IplImage *pBinaryImage = cvCreateImage(cvGetSize(pGrayImage), IPL_DEPTH_8U, 1);
cvThreshold(pGrayImage, pBinaryImage, 250, 255, CV_THRESH_BINARY);
// 检索轮廓并返回检测到的轮廓的个数
CvMemStorage *pcvMStorage = cvCreateMemStorage();
CvSeq *pcvSeq = NULL;
cvFindContours(pBinaryImage, pcvMStorage, &pcvSeq, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
// 画轮廓图
IplImage *pOutlineImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 3);
int nLevels = 5;
// 填充成白色
cvRectangle(pOutlineImage, cvPoint(0, 0), cvPoint(pOutlineImage->width, pOutlineImage->height), CV_RGB(255, 255, 255), CV_FILLED);
cvDrawContours(pOutlineImage, pcvSeq, CV_RGB(255,0,0), CV_RGB(0,255,0), nLevels, 2);
// 显示轮廓图
cvNamedWindow(pstrWindowsOutLineTitle, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsOutLineTitle, pOutlineImage);
cvWaitKey(0);
cvReleaseMemStorage(&pcvMStorage);
cvDestroyWindow(pstrWindowsSrcTitle);
cvDestroyWindow(pstrWindowsOutLineTitle);
cvReleaseImage(&pSrcImage);
cvReleaseImage(&pGrayImage);
cvReleaseImage(&pBinaryImage);
cvReleaseImage(&pOutlineImage);
return 0;
}
//By MoreWindows (http://blog.csdn.net/MoreWindows)
#include <opencv2/opencv.hpp>
using namespace std;
#pragma comment(linker, "/subsystem:\"windows\" /entry:\"mainCRTStartup\"")
int main( int argc, char** argv )
{
const char *pstrWindowsSrcTitle = "原图(http://blog.csdn.net/MoreWindows)";
const char *pstrWindowsOutLineTitle = "轮廓图(http://blog.csdn.net/MoreWindows)";
const int IMAGE_WIDTH = 400;
const int IMAGE_HEIGHT = 200;
// 创建图像
IplImage *pSrcImage = cvCreateImage(cvSize(IMAGE_WIDTH, IMAGE_HEIGHT), IPL_DEPTH_8U, 3);
// 填充成白色
cvRectangle(pSrcImage, cvPoint(0, 0), cvPoint(pSrcImage->width, pSrcImage->height), CV_RGB(255, 255, 255), CV_FILLED);
// 画圆
CvPoint ptCircleCenter = cvPoint(IMAGE_WIDTH / 4, IMAGE_HEIGHT / 2);
int nRadius = 80;
cvCircle(pSrcImage, ptCircleCenter, nRadius, CV_RGB(255, 255, 0), CV_FILLED);
ptCircleCenter = cvPoint(IMAGE_WIDTH / 4, IMAGE_HEIGHT / 2);
nRadius = 30;
cvCircle(pSrcImage, ptCircleCenter, nRadius, CV_RGB(255, 255, 255), CV_FILLED);
// 画矩形
CvPoint ptLeftTop = cvPoint(IMAGE_WIDTH / 2 + 20, 20);
CvPoint ptRightBottom = cvPoint(IMAGE_WIDTH - 20, IMAGE_HEIGHT - 20);
cvRectangle(pSrcImage, ptLeftTop, ptRightBottom, CV_RGB(0, 255, 255), CV_FILLED);
ptLeftTop = cvPoint(IMAGE_WIDTH / 2 + 60, 40);
ptRightBottom = cvPoint(IMAGE_WIDTH - 60, IMAGE_HEIGHT - 40);
cvRectangle(pSrcImage, ptLeftTop, ptRightBottom, CV_RGB(255, 255, 255), CV_FILLED);
// 显示原图
cvNamedWindow(pstrWindowsSrcTitle, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsSrcTitle, pSrcImage);
// 转为灰度图
IplImage *pGrayImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1);
cvCvtColor(pSrcImage, pGrayImage, CV_BGR2GRAY);
// 转为二值图
IplImage *pBinaryImage = cvCreateImage(cvGetSize(pGrayImage), IPL_DEPTH_8U, 1);
cvThreshold(pGrayImage, pBinaryImage, 250, 255, CV_THRESH_BINARY);
// 检索轮廓并返回检测到的轮廓的个数
CvMemStorage *pcvMStorage = cvCreateMemStorage();
CvSeq *pcvSeq = NULL;
cvFindContours(pBinaryImage, pcvMStorage, &pcvSeq, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
// 画轮廓图
IplImage *pOutlineImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 3);
int nLevels = 5;
// 填充成白色
cvRectangle(pOutlineImage, cvPoint(0, 0), cvPoint(pOutlineImage->width, pOutlineImage->height), CV_RGB(255, 255, 255), CV_FILLED);
cvDrawContours(pOutlineImage, pcvSeq, CV_RGB(255,0,0), CV_RGB(0,255,0), nLevels, 2);
// 显示轮廓图
cvNamedWindow(pstrWindowsOutLineTitle, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsOutLineTitle, pOutlineImage);
cvWaitKey(0);
cvReleaseMemStorage(&pcvMStorage);
cvDestroyWindow(pstrWindowsSrcTitle);
cvDestroyWindow(pstrWindowsOutLineTitle);
cvReleaseImage(&pSrcImage);
cvReleaseImage(&pGrayImage);
cvReleaseImage(&pBinaryImage);
cvReleaseImage(&pOutlineImage);
return 0;
}
相关文章推荐
- 图像处理和图像识别中常用的OpenCV函数
- Spring MVC的实现原理
- Linux下find命令详解
- 关于UIView位置信息的总结和CATransform3D初步认识
- android Fragment 源码分析
- LintCode(72)中序遍历和后序遍历树构造二叉树
- Java关键字final、static使用总结
- Lombok学习
- zencart 安装和配置修改笔记
- C#重写Equals()
- HDU 2952 Counting Sheep 深搜
- 指针
- ORA-01652 无法通过128 (在表空间 TEMP中)扩展temp段 剖析解决
- 一次Ajax报错:“存储空间不足,无法完成此操作”的解决经验
- C语言运算符和操作符
- 最长k可重区间集问题(最小费用流)
- 欢迎使用CSDN-markdown编辑器
- 网站报502、504错误---lnmp
- mac安装IDEA
- web magic