源代码：
#include \
#include \#include
IplImage* color_img0; IplImage* mask;
IplImage* color_img;
IplImage* gray_img0 = NULL; IplImage* gray_img = NULL; int ffill_case = 1;
int lo_diff = 20, up_diff = 20; int connectivity = 4; int is_color = 1; int is_mask = 0;
int new_mask_val = 255;
void on_mouse( int event, int x, int y, int flags, void* param ) {
if( !color_img ) return;
switch( event ) {
case CV_EVENT_LBUTTONDOWN:
{
CvPoint seed = cvPoint(x,y);
int lo = ffill_case == 0 ? 0 : lo_diff; int up = ffill_case == 0 ? 0 : up_diff;
int flags = connectivity + (new_mask_val << 8) + (ffill_case == 1 ? CV_FLOODFILL_FIXED_RANGE : 0); int b = rand() & 255, g = rand() & 255, r = rand() & 255; CvConnectedComp comp;
if( is_mask )
cvThreshold( mask, mask, 1, 128, CV_THRESH_BINARY );
if( is_color ) {
CvScalar color = CV_RGB( r, g, b ); cvFloodFill( color_img, seed, color, CV_RGB( lo, lo, lo ), CV_RGB( up, up, up ), &comp, flags, is_mask ? mask : NULL );
cvShowImage( \ } else {
CvScalar brightness = cvRealScalar((r*2 + g*7 + b + 5)/10);
cvFloodFill( gray_img, seed, brightness, cvRealScalar(lo),
cvRealScalar(up), &comp, flags, is_mask ? mask : NULL );
cvShowImage( \ }
printf(\ if( is_mask )
cvShowImage( \ }
break; } }
int main( int argc, char** argv ) {
char* filename = argc >= 2 ? argv[1] : (char*)\
if( (color_img0 = cvLoadImage(filename,1)) == 0 ) return 0;
printf( \
\
\ \
\ \
\- use gradient floodfill with fixed(absolute) range\\n\ \range\\n\
\ \
color_img = cvCloneImage( color_img0 );
gray_img0 = cvCreateImage( cvSize(color_img->width, color_img->height), 8, 1 );
cvCvtColor( color_img, gray_img0, CV_BGR2GRAY ); gray_img = cvCloneImage( gray_img0 ); mask = cvCreateImage( cvSize(color_img->width + 2, color_img->height + 2), 8, 1 );
cvNamedWindow( \
cvCreateTrackbar( \ cvCreateTrackbar( \ cvSetMouseCallback( \ for(;;) {
int c;
if( is_color )
cvShowImage( \ else
cvShowImage( \ c = cvWaitKey(0); switch( (char) c ) {
case '\\x1b':
printf(\ goto exit_main; case 'c':
if( is_color ) {
printf(\
cvCvtColor( color_img, gray_img, CV_BGR2GRAY ); is_color = 0; } else {
printf(\
cvCopy( color_img0, color_img, NULL ); cvZero( mask ); is_color = 1; }
break; case 'm':
if( is_mask ) {
cvDestroyWindow( \ is_mask = 0; } else {
cvNamedWindow( \ cvZero( mask );
cvShowImage( \ is_mask = 1; }
break; case 'r':
printf(\ cvCopy( color_img0, color_img, NULL ); cvCopy( gray_img0, gray_img, NULL ); cvZero( mask ); break; case 's':
printf(\ ffill_case = 0; break; case 'f':
printf(\ ffill_case = 1; break; case 'g':
printf(\(floating range) floodfill mode is set\\n\
ffill_case = 2; break; case '4':
printf(\ connectivity = 4; break; case '8':
printf(\ connectivity = 8; break; } } exit_main:
cvDestroyWindow( \ cvReleaseImage( &gray_img ); cvReleaseImage( &gray_img0 ); cvReleaseImage( &color_img ); cvReleaseImage( &color_img0 ); cvReleaseImage( &mask ); return 1; }
寻找轮廓实现视频流的运动目标检测（超推荐一下）
效果视频我上传了，浏览网址（个人感觉很牛，有点像生化危机里的一个场景）：
http://tinypic.com/m/a2epo8/2
如果上面的卡，可以连这个，就是有点发散图形：
http://i41.tinypic.com/54xcsm.jpg
也不说什么了，直接给代码吧（有一句话想说，实际上如果你是拿来做实际项目的，可能并不要学习里面的算法，直接利用里面的模板，也就是外接的调用函数就可以了）：
#include \
#include \#include