IplImage* pRGBImg = cvLoadImage(input_file.c_str(), CV_LOAD_IMAGE_UNCHANGED);
int width = pRGBImg->width;
int height = pRGBImg->height;
int bpp = pRGBImg->nChannels;
for (int i=0; i < width*height*bpp; i+=bpp)
{
if (!(i % (width*bpp))) // print empty line for better readability
std::cout << std::endl;
std::cout << std::dec << "R:" << (int) pRGBImg->imageData[i] <<
" G:" << (int) pRGBImg->imageData[i+1] <<
" B:" << (int) pRGBImg->imageData[i+2] << " ";
}
这段代码给出了不同的像素值,我在matlab中得到的是积极的,开放的cv给出了负值。
答案 0 :(得分:1)
您可能正在将带符号的字节值转换为int,这可以给出负值。试试这段代码:
std::cout << std::dec << "R:" << (unsigned int) pRGBImg->imageData[i] <<
" G:" << (unsigned int) pRGBImg->imageData[i+1] <<
" B:" << (unsigned int) pRGBImg->imageData[i+2] << " ";
答案 1 :(得分:0)
使用 uchar 为我工作
std::cout << std::dec << "R:" << (uchar) pRGBImg->imageData[i] <<
"G:" << (uchar) pRGBImg->imageData[i+1] <<
"B:" << (uchar) pRGBImg->imageData[i+2] << " ";