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2017-05-16 回答

OpenCV 生成 偽彩色圖像

opencv中沒有易用的偽彩色圖像生成函數，這里提供一個改造過的函數，利用自定義colorbar 將灰度圖像轉換成為偽彩色圖像，優點在于提供了對于顏色的直觀可操控性，轉換方便。

函數代碼如下：

[cpp] view plain copy 在CODE上查看代碼片派生到我的代碼片

//function : Pseudo color - enhanced

//author : Xin Yang, Shenzhen Univ., School of medicine

//email : xinyang@szu.edu.cn

//date : 2015.01.23

void C_Assistant::Gray2PseudoColor(IplImage* src ,IplImage *&dst)

{

if(dst != NULL)

{

cvReleaseImage(&dst);

dst = NULL;

}

dst = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);

IplImage *R, *G,*B;

//Load referred color bar

std::string HeatMapPath = "..\\ColorBar.png";

IplImage* heatmap = cvLoadImage(HeatMapPath.c_str());

//we split the heatmap along the 3 channels

R = cvCreateImage(cvGetSize(heatmap), heatmap->depth,1);

G = cvCloneImage(R);

B = cvCloneImage(R);

cvSplit(heatmap,B,G,R,NULL);

for(int x=0; xwidth; x++)

{

for(int y=0;yheight; y++)

{

//memory access to the destination color image (faster than splitting the 3 channels...)

unsigned char *data = &((unsigned char*)(dst->imageData + dst->widthStep*y ))[x*3];

//read the intensity value in the grayscale image

unsigned char gray = src->imageData[src->widthStep*y + x*src->nChannels];

//remember, OpenCV store images as BGR internally !

//So access [2] for Red, [1] for Green et [3] for Blue

float ColorIndex = gray/255.0*heatmap->height;

if(ColorIndex >= heatmap->height) ColorIndex = heatmap->height - 1;

data[2] = cvGet2D(R, ColorIndex, 1).val[0]; //Red channel

data[1] = cvGet2D(G, ColorIndex, 1).val[0]; //Green channel

data[0] = cvGet2D(B, ColorIndex, 1).val[0]; //Blue channel

}

}

//Clear

if(heatmap != NULL)

{

cvReleaseImage(&heatmap);

heatmap = NULL;

}

}

參考可用的colorbar如下，也可以自己生成來替換。

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