求救：帮忙注释程序openCV做的一个每50ms从摄像头取一张图像的程序

int main(int argc,char** argv) //main函数羡段仿

{

cvNamedWindow("Demo")//声燃辩明窗口兄纤

CvCapture* capture=cvCreateCameraCapture(0)//声明摄像头类型的变量

IplImage* frame//声明图像

while(1)//循环

{

frame=cvQueryFrame(capture)//从摄像头中读取一帧

if(!frame) break//如果错误，跳出循环

cvShowImage("Demo",frame)//在窗口中显示图像

char c=cvWaitKey(50)//等待按键事件

if(c==27) break//如果按ESC键，跳出循环

}

cvReleaseCapture(&capture)//释放capture

cvDestroyWindow("Demo")//销掉窗口

}

采用金字塔方法进行图像分割

#include "cv.h"

#include "highgui.h"

#include <math.h>

IplImage* image[2] = { 0, 0 }, *image0 = 0, *image1 = 0

CvSize size

int w0, h0,i

int threshold1, threshold2

int l,level = 4

int sthreshold1, sthreshold2

int l_comp

int block_size = 1000

float parameter

double threshold

double rezult, min_rezult

CvFilter filter = CV_GAUSSIAN_5x5

CvConnectedComp *cur_comp, min_comp

CvSeq *comp

CvMemStorage *storage

CvPoint pt1, pt2

void ON_SEGMENT(int a)

{

cvPyrSegmentation(image0, image1, storage, &comp,

level, threshold1+1, threshold2+1)

/*l_comp = comp->total

i = 0

min_comp.value = cvScalarAll(0)

while(i<l_comp)

{

cur_comp = (CvConnectedComp*)cvGetSeqElem ( comp, i )

if(fabs(255- min_comp.value.val[0])>

fabs(255- cur_comp->value.val[0]) &&

fabs(min_comp.value.val[1])>

fabs(cur_comp->value.val[1]) &&

fabs(min_comp.value.val[2])>

fabs(cur_comp->薯纯尺value.val[2]) )

min_comp = *cur_comp

i++

}*/

cvShowImage("Segmentation", image1)

}

int main( int argc, char** argv )

{

char* filename = argc == 2 ? argv[1] : (char*)"fruits.jpg"

if( (image[0] = cvLoadImage( filename, 1)) == 0 )

return -1

cvNamedWindow("Source", 0)

cvShowImage("Source", image[0])

cvNamedWindow("Segmentation", 0)

storage = cvCreateMemStorage ( block_size )

image[0]->width &= -(1<<level)

image[0]->height &= -(1<<level)

image0 = cvCloneImage( image[0] )

image1 = cvCloneImage( image[0] )

/数高/ 对彩色图像进行分割

l = 1

threshold1 =255

threshold2 =30

ON_SEGMENT(1)

sthreshold1 = cvCreateTrackbar("Threshold1"裤缓, "Segmentation", &threshold1, 255,

ON_SEGMENT)

sthreshold2 = cvCreateTrackbar("Threshold2", "Segmentation", &threshold2, 255,

ON_SEGMENT)

cvShowImage("Segmentation", image1)

cvWaitKey(0)

cvDestroyWindow("Segmentation")

cvDestroyWindow("Source")

cvReleaseMemStorage(&storage )

cvReleaseImage(&image[0])

cvReleaseImage(&image0)

cvReleaseImage(&image1)

return 0

}

试试 里面一些参数要改一下 这是c++

vector<vector<Point>>vecContour

vector<Vec4i>hierarcy

findContours(dst1, vecContour, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE)//查找轮廓

Rect boundRect//存放外接矩形

RotatedRect rorect//存放最小外接矩形

Point2f rect[4]

//vector<vector<Point>>proRect

//Mat imageContours = Mat::zeros(image.size(), CV_8UC1)

for (int i = 0i <友瞎 vecContour.size()i++)

{

boundRect = boundingRect(Mat(vecContour[i]))

if (boundRect.width <200 || boundRect.height <200)

continue

circle(dst1, Point(rorect.center.x, rorect.center.y), 5, Scalar(0, 255, 0), -1, 8) /橡袭/绘制最小外接矩形的中心点

rorect.points(rect) //把最梁告兄小外接矩形四个端点复制给rect数组

rectangle(dst1, Point(boundRect.x, boundRect.y), Point(boundRect.x + boundRect.width, boundRect.y + boundRect.height), Scalar(0, 255, 0), 2, 8)

for (int j = 0j <4j++)

{

line(dst1, rect[j], rect[(j + 1) % 4], Scalar(255, 0, 0), 2, 8) //绘制最小外接矩形每条边

}

}

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