关于轮廓的各种使用

#include "cv.h"

#include "highgui.h"

#include "cvaux.h"

#include "cxcore.h"

#include <stdio.h>

#include <vector>

using namespace std;

using namespace cv;

#define PI 3.14159f

void DrawBox(CvBox2D box,IplImage* img)

{

CvPoint2D32f points[4];

cvBoxPoints(box,points);

CvPoint pt[4];

for (int i=0; i<4; i++)

{

pt[i].x = (int)points[i].x;

pt[i].y = (int)points[i].y;

}

cvLine( img, pt[0], pt[1],CV_RGB(255,0,0), 2, 8, 0 );

cvLine( img, pt[1], pt[2],CV_RGB(255,0,0), 2, 8, 0 );

cvLine( img, pt[2], pt[3],CV_RGB(255,0,0), 2, 8, 0 );

cvLine( img, pt[3], pt[0],CV_RGB(255,0,0), 2, 8, 0 );

}

void main()

{

IplImage* img1 = cvLoadImage("5.jpg",1);

IplImage* img1_gray =cvCreateImage(cvGetSize(img1),8,1);

cvCvtColor(img1,img1_gray,CV_BGR2GRAY);

IplImage* img_edge1 = cvCreateImage(cvGetSize(img1),8,1);

cvThreshold(img1_gray,img_edge1,240,255,CV_THRESH_BINARY);

printf("图1：\n\n");

CvMemStorage* storage1 = cvCreateMemStorage();

CvSeq* contour1 = NULL;

int Nc1= cvFindContours(img_edge1,storage1,&contour1,sizeof(CvContour),CV_RETR_LIST);//最后一个参数的可变性

printf("轮廓数：%d\n",Nc1);



//轮廓的矩

CvMoments *moments1=new CvMoments();

cvMoments(contour1,moments1,0);

//Hu矩

CvHuMoments *huMonents1=new CvHuMoments();

cvGetHuMoments(moments1,huMonents1);

printf("遍历三阶矩：\n");

for (int xOrder = 0; xOrder <= 3; xOrder++)

for (int yOrder = 0; yOrder <= 3; yOrder++)

{

if (xOrder + yOrder <= 3)

{

double spatialMoment =cvGetSpatialMoment(moments1,xOrder, yOrder);

double centralMoment =cvGetCentralMoment(moments1,xOrder, yOrder);

double normalizedCentralMoment =cvGetNormalizedCentralMoment(moments1,xOrder, yOrder);

printf(" %d,%d ： 空间距-%.2f, 中心距-%.2f, 归一化中心距-%.2f\n",xOrder,yOrder,spatialMoment,centralMoment,normalizedCentralMoment);

}

}

printf("Hu矩：%f,%f,%f,%f,%f,%f,%f\n",huMonents1->hu1,huMonents1->hu2,huMonents1->hu3,huMonents1->hu3,huMonents1->hu5,huMonents1->hu6,huMonents1->hu7);

printf("\n图2：\n\n");

IplImage* img2 = cvLoadImage("6.jpg",1);

IplImage* img2_gray =cvCreateImage(cvGetSize(img2),8,1);

cvCvtColor(img2,img2_gray,CV_BGR2GRAY);

IplImage* img_edge2 = cvCreateImage(cvGetSize(img2),8,1);

cvThreshold(img2_gray,img_edge2,128,255,CV_THRESH_BINARY);

CvMemStorage* storage2 = cvCreateMemStorage();

CvSeq* contour2 = NULL;

int Nc2 = cvFindContours(img_edge2,storage2,&contour2,sizeof(CvContour),CV_RETR_LIST);

printf("轮廓数：%d\n\n",Nc2);

printf("遍历三阶矩：\n");

CvMoments*moments2=new CvMoments();

cvMoments(contour2,moments2,0);

CvHuMoments *huMonents2=new CvHuMoments();

cvGetHuMoments(moments2,huMonents2);

for (int xOrder = 0; xOrder <= 3; xOrder++)

for (int yOrder = 0; yOrder <= 3; yOrder++)

{

if (xOrder + yOrder <= 3)

{

double spatialMoment =cvGetSpatialMoment(moments2,xOrder, yOrder);

double centralMoment =cvGetCentralMoment(moments2,xOrder, yOrder);

double normalizedCentralMoment =cvGetNormalizedCentralMoment(moments2,xOrder, yOrder);

printf(" %d,%d ： 空间距-%.2f, 中心距-%.2f, 归一化中心距-%.2f\n",xOrder,yOrder,spatialMoment,centralMoment,normalizedCentralMoment);

}

}

printf("Hu矩：%f,%f,%f,%f,%f,%f,%f\n",huMonents2->hu1,huMonents2->hu2,huMonents2->hu3,huMonents2->hu3,huMonents2->hu5,huMonents2->hu6,huMonents2->hu7);

//Hu矩匹配

double hu = cvMatchShapes(contour1,contour2,CV_CONTOURS_MATCH_I1,0);

printf("\n\nHu矩匹配：%f\n",hu);

//轮廓树匹配

CvMemStorage* storage3 = cvCreateMemStorage();

CvMemStorage* storage4= cvCreateMemStorage();

CvContourTree* tree1 = cvCreateContourTree(contour1,storage3,200);

CvContourTree* tree2 = cvCreateContourTree(contour2,storage4,200);

double tree = cvMatchContourTrees(tree1,tree2,CV_CONTOURS_MATCH_I1,200);

printf("\n轮廓树匹配：%.4f\n\n",tree);

//将轮廓线画出

double s1,len1,h1,d1;

CvRect rect1;

CvBox2D box1,ellipse1;

CvPoint2D32f center1;

float radius1;

IplImage* mask1=cvCreateImage(cvGetSize(img1),8,1);

IplImage* dst1=cvCreateImage(cvGetSize(img1),8,3);

//轮廓的成对几何直方图匹配

int sizes[2] = {60, 200};

float ranges[2][2] = {{0,PI}, {0,200}};

float** rangesPtr = new float* [2];

rangesPtr[0] = ranges[0];

rangesPtr[1] = ranges[1];

CvHistogram* hist1,*hist2;

hist1 = cvCreateHist(2, sizes, CV_HIST_ARRAY, rangesPtr, 1);

hist2 = cvCreateHist(2, sizes, CV_HIST_ARRAY, rangesPtr, 1);

cvCalcPGH(contour1, hist1);

cvCalcPGH(contour2, hist2);

cvNormalizeHist(hist1, 1);

cvNormalizeHist(hist2, 1);

double hist= cvCompareHist(hist1,hist2, CV_COMP_INTERSECT);

printf("\n成对几何直方图匹配:%.2f\n\n\n", hist);

printf("图1：\n\n");

for( int i=1; contour1!= 0; contour1 = contour1->h_next,i++)

{

IplImage* img1_copy =cvCloneImage(img1);

printf("\n第%d个轮廓：\n",i);

CvScalar color = CV_RGB( 0, 0,255);

cvZero( mask1);

cvZero( dst1 );

cvDrawContours(mask1, contour1, color, color, -1, 1);//边界线的厚度，默认为 1，得到的是轮廓外形这里设置为 -1即CV_FILLED，

//是指对轮廓内的区域进行填充,通过cvCopy可将原图轮廓中的内容保留下来

cvCopy(img1_copy, dst1, mask1); //可将原图轮廓中的内容保留下来

cvSaveImage("111.bmp",dst1);//debug查看效果

s1 = fabs(cvContourArea(contour1));//轮廓面积

printf(" 轮廓面积：%f\n",s1);

len1=cvArcLength(contour1);

printf(" 轮廓周长：%f\n",len1);

rect1=cvBoundingRect(contour1);//轮廓的边界框

cvRectangle(img1_copy,cvPoint(rect1.x,rect1.y),cvPoint(rect1.x+rect1.width,rect1.y+rect1.height),CV_RGB(255,255,0));

box1=cvMinAreaRect2(contour1);//最小矩形

DrawBox(box1,img1_copy);

cvMinEnclosingCircle(contour1,¢er1,&radius1);//外围圆

cvCircle(img1_copy,cvPoint((int)center1.x,(int)center1.y),radius1,CV_RGB(0,255,0));

ellipse1=cvFitEllipse2(contour1);//外围椭圆

cvEllipseBox(img1_copy,ellipse1,CV_RGB(0,0,255));

cvSaveImage("222.bmp",img1_copy);//debug查看效果

int flag=cvCheckContourConvexity(contour1);//凹凸性，检测不准确???

if (flag)

printf(" 为凸包\n");

else

printf(" 为凹包\n");

CvSeq* convexHull1=cvConvexHull2(contour1,NULL,1,1);//凸外多边形

//当return_points=0时，用cvConvexHull2函数得到的凸外形，包含的是轮廓的定点的指针或下标，

//而当return_points为非0时，得到的是外形点的本身。大家知道计算整个轮廓或部分轮廓的面积的函数定义为：

cvZero( mask1);

cvZero( dst1 );

cvDrawContours(mask1,convexHull1, color, color, -1, 2);

cvCopy(img1_copy, dst1, mask1); //可将原图轮廓中的内容保留下来

cvSaveImage("333.bmp",dst1);//debug查看效果

h1 = fabs(cvContourArea(convexHull1));//轮廓面积

printf(" 凸外多边形面积为：%f\n",h1);

//CvSeq *defects1=cvConvexityDefects(contour1,convexHull1);//缺陷

//Seq<CvConvexityDefect> defects2=cvConvexityDefects(contour1,convexHull1);//为什么都不可以

//d1 = fabs(cvContourArea(defects1));//轮廓面积

//printf(" 缺陷面积为：%f\n",d1);

}

cvReleaseMemStorage(&storage1);

cvReleaseMemStorage(&storage2);

cvReleaseMemStorage(&storage3);

cvReleaseMemStorage(&storage4);

}