Mat input_image;
unsigned char* input = new unsigned char[input_image.rows * input_image.cols];	//這裡假設是單通道的，如果不是，需要乘以input_image.channels()

//將unsigned char陣列轉換為IplImage*,並顯示
IplImage* image = cvCreateImageHeader(cvSize(input_image.cols,input_image.rows), IPL_DEPTH_8U, input_image.channels()); 
image->origin = ~image->origin; 
cvSetData(image, input, input_image.cols * input_image.channels());  
cvNamedWindow("window-1");   
cvShowImage("window-1", image);		//這裡顯示出來的影象是倒著的

//將unsigned char陣列轉換為Mat,並顯示
Mat output_image(input_image.rows, input_image.cols, input_image.type(),input);
imshow("output_image",output_image);	//這裡顯示出來的影象是正的

//將IplImage*轉換為unsigned char陣列
IplImage* image；
int image_size = image->width * image->height;
unsigned char* output = new unsigned char[image_size];	//或unsigned char* output = (unsigned char*)malloc(sizeof(unsigned char) * image_size);
memcpy(output, image->imageData, image_size);

//將Mat轉換為unsigned char陣列
int image_size = input_image.cols * input_image.rows;
unsigned char* output = new unsigned char[image_size];	//或unsigned char* output = (unsigned char*)malloc(sizeof(unsigned char) * image_size);
memcpy(output, input_image.data, image_size);