仅以 BGR 格式为例：
一、cv::Mat -> Image
Image Mat2Magick(const cv::Mat& img )
{
Image mgk(img.cols, img.rows, "BGR", MagickCore::CharPixel, (char *)img.data);
return mgk;
}
二、Image -> cv::Mat
void Magick2Mat(Image& magicImage, cv::Mat& img)
{
int width= magicImage.size().width();
int height = magicImage.size().height();
int size = 3 * width * height;
uchar* blob= new uchar[size];
magicImage.write(0,0, width, height, "BGR", MagickCore::CharPixel, blob);
img.create(height, width, CV_8UC3);
memcpy(img.data, blob, size);
delete [] blob;
}
三、其他格式
ImageMagick 支持的其他存储格式
typedef enum
{
UndefinedPixel,
CharPixel,
DoublePixel,
FloatPixel,
LongPixel,
LongLongPixel,
QuantumPixel,
ShortPixel
} StorageType;
OpenCV 支持的格式
#define CV_8UC1 CV_MAKETYPE(CV_8U,1)
#define CV_8UC2 CV_MAKETYPE(CV_8U,2)
#define CV_8UC3 CV_MAKETYPE(CV_8U,3)
#define CV_8UC4 CV_MAKETYPE(CV_8U,4)
#define CV_8UC(n) CV_MAKETYPE(CV_8U,(n))
#define CV_8SC1 CV_MAKETYPE(CV_8S,1)
#define CV_8SC2 CV_MAKETYPE(CV_8S,2)
#define CV_8SC3 CV_MAKETYPE(CV_8S,3)
#define CV_8SC4 CV_MAKETYPE(CV_8S,4)
#define CV_8SC(n) CV_MAKETYPE(CV_8S,(n))
#define CV_16UC1 CV_MAKETYPE(CV_16U,1)
#define CV_16UC2 CV_MAKETYPE(CV_16U,2)
#define CV_16UC3 CV_MAKETYPE(CV_16U,3)
#define CV_16UC4 CV_MAKETYPE(CV_16U,4)
#define CV_16UC(n) CV_MAKETYPE(CV_16U,(n))
#define CV_16SC1 CV_MAKETYPE(CV_16S,1)
#define CV_16SC2 CV_MAKETYPE(CV_16S,2)
#define CV_16SC3 CV_MAKETYPE(CV_16S,3)
#define CV_16SC4 CV_MAKETYPE(CV_16S,4)
#define CV_16SC(n) CV_MAKETYPE(CV_16S,(n))
#define CV_32SC1 CV_MAKETYPE(CV_32S,1)
#define CV_32SC2 CV_MAKETYPE(CV_32S,2)
#define CV_32SC3 CV_MAKETYPE(CV_32S,3)
#define CV_32SC4 CV_MAKETYPE(CV_32S,4)
#define CV_32SC(n) CV_MAKETYPE(CV_32S,(n))
#define CV_32FC1 CV_MAKETYPE(CV_32F,1)
#define CV_32FC2 CV_MAKETYPE(CV_32F,2)
#define CV_32FC3 CV_MAKETYPE(CV_32F,3)
#define CV_32FC4 CV_MAKETYPE(CV_32F,4)
#define CV_32FC(n) CV_MAKETYPE(CV_32F,(n))
#define CV_64FC1 CV_MAKETYPE(CV_64F,1)
#define CV_64FC2 CV_MAKETYPE(CV_64F,2)
#define CV_64FC3 CV_MAKETYPE(CV_64F,3)
#define CV_64FC4 CV_MAKETYPE(CV_64F,4)
#define CV_64FC(n) CV_MAKETYPE(CV_64F,(n))
比如 Image 为 单通道的FloatPixel，那么 cv::Mat 就应该改为 CV_32FC1 与之对应。
四、如何使用
使用方法也十分简单，直接上代码
1) Image -> Mat
cv::Mat img;
Magick2Mat(image, img);
cv::imshow("Magick2Mat", img);
cv::waitKey(0);
2) Mat -> Image
Image test = Mat2Magick(img);
test.write("Mat2Magick.jpg");
PS: 通过查看 ImageMagick 源码（Pixel.c）
ImportImagePixels() 【由 image.cpp 的 ConstituteImage 调用】 里面定义了颜色映射的字符串含义
可以是以下的任意组合：
/ * R = red, G = green, B = blue,
% A = alpha (0 is transparent), O = opacity (0 is opaque), C = cyan,
% Y = yellow, M = magenta, K = black, I = intensity (for grayscale),
