我想在我确定的坐标处将图像放在捕获的视频帧上。
之前我问过,我被告知要使用cvCopy
和cvSetImageROI
,但我不想在那些坐标上裁剪我想要添加另一张图像。
也许这是正确的方式,但我不理解它(如果正确请解释)。
答案 0 :(得分:7)
我刚刚使用SetRoi做过这个,就像这样。我有两个图像,一个是一个名为thumb_frame的缩略图,它是我将在大图像中包含的小图片show_frame
//I set the ROI to the same size as the thumb_frame
cvSetImageROI(show_frame.image, cvRect(thumbnail_x_pos,
thumbnail_y_pos, thumb_frame->width, thumb_frame->height));
//I add the image to the designated ROI
cvAddWeighted(thumb_frame, alpha, show_frame, beta, 0, show_frame);
就是这样。
答案 1 :(得分:6)
void cvOverlayImage(IplImage* src, IplImage* overlay, CvPoint location, CvScalar S, CvScalar D)
{
int x,y,i;
for(x=0;x < overlay->width -10;x++)
//replace '-10' by whatever x position you want your overlay image to begin.
//say '-varX'
{
if(x+location.x>=src->width) continue;
for(y=0;y < overlay->height -10;y++)
//replace '-10' by whatever y position you want your overlay image to begin.
//say '-varY'
{
if(y+location.y>=src->height) continue;
CvScalar source = cvGet2D(src, y+location.y, x+location.x);
CvScalar over = cvGet2D(overlay, y, x);
CvScalar merged;
for(i=0;i<4;i++)
merged.val[i] = (S.val[i]*source.val[i]+D.val[i]*over.val[i]);
cvSet2D(src, y+location.y, x+location.x, merged);
}
}
}
使用它
cvOverlayImage(largerimage, overlayimage, cvPoint(10, 10), cvScalar(0.5,0.5,0.5,0.5), cvScalar(0.5,0.5,0.5,0.5));
//The cvPoint(10,10) can be the cvPoint(varX,varY) depending on how you write the function
//and how you want to use it.
//You cannot choose values less than 'varX' and 'varY' in this case
//else you would see a runtime error.
答案 2 :(得分:0)
您必须逐个像素地从源复制到目标。下面的代码恰好与坐标x
和y
相关。我实际上没有尝试过这个,但我相当肯定它应该或多或少地按照你的预期工作。
确保目标图像至少是源的大小加上偏移量!
void drawImage(IplImage* target, IplImage* source, int x, int y) {
for (int ix=0; x<source->width; x++) {
for (int iy=0; y<source->height; y++) {
int r = cvGet2D(source, iy, ix).val[2];
int g = cvGet2D(source, iy, ix).val[1];
int b = cvGet2D(source, iy, ix).val[0];
CvScalar bgr = cvScalar(b, g, r);
cvSet2D(target, iy+y, ix+x, bgr);
}
}
}
答案 3 :(得分:0)
不幸的是,“Paul Lammertsma”代码在这里混合了索引,你有固定代码:
void drawImage(IplImage* target, IplImage* source, int x, int y) {
for (int ix=0; ix<source->width; ix++) {
for (int iy=0; iy<source->height; iy++) {
int r = cvGet2D(source, iy, ix).val[2];
int g = cvGet2D(source, iy, ix).val[1];
int b = cvGet2D(source, iy, ix).val[0];
CvScalar bgr = cvScalar(b, g, r);
cvSet2D(target, iy+y, ix+x, bgr);
}
}
}