OpenCV 学习笔记（11）像素级别指针操作

//优化两图的连接处，使得拼接自然
void OptimizeSeam(Mat& img1, Mat& trans, Mat& dst)
{
	int start = MIN(corners.left_top.x, corners.left_bottom.x);//开始位置，即重叠区域的左边界
	double processWidth = img1.cols - start;//重叠区域的宽度
	int rows = dst.rows;
	int cols = img1.cols; //注意，是列数*通道数
	double alpha = 1;//img1中像素的权重
	for (int i = 0; i < rows; i++)
	{
		uchar* p = img1.ptr<uchar>(i);  //获取第i行的首地址
		uchar* t = trans.ptr<uchar>(i);
		uchar* d = dst.ptr<uchar>(i);
		for (int j = start; j < cols; j++)
		{
			//如果遇到图像trans中无像素的黑点，则完全拷贝img1中的数据
			if (t[j * 3] == 0 && t[j * 3 + 1] == 0 && t[j * 3 + 2] == 0)			{
			alpha = 1;			}
			else			{
			//img1中像素的权重，与当前处理点距重叠区域左边界的距离成正比，实验证明，这种方法确实好
			alpha = (processWidth - (j - start)) / processWidth;			}
			d[j * 3] = p[j * 3] * alpha + t[j * 3] * (1 - alpha);
			d[j * 3 + 1] = p[j * 3 + 1] * alpha + t[j * 3 + 1] * (1 - alpha);
			d[j * 3 + 2] = p[j * 3 + 2] * alpha + t[j * 3 + 2] * (1 - alpha);
	    }	

	}
}