C++ Image::channels方法代码示例

	double Zncc::computeTpl(image::Image const& im1_, image::Image const& im2_, float const* weightMatrix)
	{
		// preconds
		JFR_PRECOND( im1_.depth() == depth, "Image 1 depth is different from the template parameter" );
		JFR_PRECOND( im2_.depth() == depth, "Image 2 depth is different from the template parameter" );
		JFR_PRECOND( im1_.channels() == im2_.channels(), "The channels number of both images are different" );
		JFR_PRECOND( !useWeightMatrix || weightMatrix, "Template parameter tells to use weightMatrix but no one is given" );
		
		// adjust ROIs to match size, assuming that it is reduced when set out of the image
		// FIXME weightMatrix should be a cv::Mat in order to have a ROI too, and to adjust it
		cv::Size size1; cv::Rect roi1 = im1_.getROI(size1);
		cv::Size size2; cv::Rect roi2 = im2_.getROI(size2);
		int dw = roi1.width - roi2.width, dh = roi1.height - roi2.height;
		if (dw != 0)
		{
			cv::Rect &roiA = (dw<0 ? roi1 : roi2), &roiB = (dw<0 ? roi2 : roi1);
			cv::Size &sizeA = (dw<0 ? size1 : size2);
			if (roiA.x == 0) { roiB.x += dw; roiB.width -= dw; } else
			if (roiA.x+roiA.width == sizeA.width) { roiB.width -= dw; }
		}
		if (dh != 0)
		{
			cv::Rect &roiA = (dh<0 ? roi1 : roi2), &roiB = (dh<0 ? roi2 : roi1);
			cv::Size &sizeA = (dh<0 ? size1 : size2);
			if (roiA.y == 0) { roiB.y += dh; roiB.height -= dh; } else
			if (roiA.y+roiA.height == sizeA.height) { roiB.height -= dh; }
		}
		image::Image im1(im1_); im1.setROI(roi1);
		image::Image im2(im2_); im2.setROI(roi2);

		// some variables initialization
		int height = im1.height();
		int width = im1.width();
		int step1 = im1.step1() - width;
		int step2 = im2.step1() - width;
		
		double mean1 = 0., mean2 = 0.;
		double sigma1 = 0., sigma2 = 0., sigma12 = 0.;
		double zncc_sum = 0.;
		double zncc_count = 0.;
		double zncc_total = 0.;
		
		worktype const* im1ptr = reinterpret_cast<worktype const*>(im1.data());
		worktype const* im2ptr = reinterpret_cast<worktype const*>(im2.data());
		
		float const* wptr = weightMatrix;
		double w;
		
		// start the loops
		for(int i = 0; i < height; ++i) 
		{
			for(int j = 0; j < width; ++j) 
			{
				worktype im1v = *(im1ptr++);
				worktype im2v = *(im2ptr++);
				if (useWeightMatrix) w = *(wptr++); else w = 1;
				if (useBornes) zncc_total += w;
				
//std::cout << "will correl ? " << useBornes << ", " << (int)im1v << ", " << (int)im2v << std::endl;
				if (!useBornes || (im1v != borneinf && im1v != bornesup && im2v != borneinf && im2v != bornesup))
				{
//std::cout << "correl one pixel" << std::endl;
#if 0
					double im1vw, im2vw;
					if (useWeightMatrix)
						{ im1vw = im1v * w; im2vw = im2v * w; } else
						{ im1vw = im1v;     im2vw = im2v;     }
					zncc_count += w;
					mean1 += im1vw;
					mean2 += im2vw;
					sigma1 += im1v * im1vw;
					sigma2 += im2v * im2vw;
					zncc_sum += im1v * im2vw;
#else
					zncc_count += w;
					mean1 += im1v * w;
					mean2 += im2v * w;
					sigma1 += im1v * im1v * w;
					sigma2 += im2v * im2v * w;
					zncc_sum += im1v * im2v * w;
#endif
				}
			}
			im1ptr += step1;
			im2ptr += step2;
		}
		
		if (useBornes) if (zncc_count / zncc_total < 0.75)
			{ /*std::cout << "zncc failed: " << zncc_count << "," << zncc_total << std::endl;*/ return -3; }
		
		// finish
		mean1 /= zncc_count;
		mean2 /= zncc_count;
		sigma1 = sigma1/zncc_count - mean1*mean1;
		sigma2 = sigma2/zncc_count - mean2*mean2;
		sigma1 = sigma1 > 0.0 ? sqrt(sigma1) : 0.0; // test for numerical rounding errors to avoid nan
		sigma2 = sigma2 > 0.0 ? sqrt(sigma2) : 0.0;
		sigma12 = sigma1*sigma2;
// std::cout << "normal: zncc_sum " << zncc_sum << ", count " << zncc_count << ", mean12 " << mean1*mean2 << ", sigma12 " << sigma1*sigma2 << std::endl;
		zncc_sum = (sigma12 < 1e-6 ? -1 : (zncc_sum/zncc_count - mean1*mean2) / sigma12);
//.........这里部分代码省略.........