OpenCV 处理灯光点

if (isCheck)  {            

imageMat.copyTo(mRgbaMat);      

// READ RGB color image and convert it to Lab   

 cv::Mat rgbImageMat;    

cv::cvtColor(mRgbaMat, rgbImageMat, CV_RGBA2RGB);    

cv::Mat bgr_image;    rgbImageMat.copyTo(bgr_image);   

cv::Mat lab_image;    

cv::cvtColor(bgr_image, lab_image, CV_RGB2Lab);   

 //  保存图片    

if(imageCont < 3){    

[self saveMat:@"第一步" src:mRgbaMat];    

}        

// Extract the L channel    

std::vectorlab_planes(3);    

cv::split(lab_image, lab_planes); 

 // now we have the L image in lab_planes[0]       

 // apply the CLAHE algorithm to the L channel    

cv::Ptrclahe = cv::createCLAHE();

clahe->setClipLimit(4);

cv::Mat dst;

clahe->apply(lab_planes[0], dst);

// Merge the the color planes back into an Lab image

dst.copyTo(lab_planes[0]);

cv::merge(lab_planes, lab_image);

// convert back to RGB

cv::Mat image_clahe;

//cv::cvtColor(lab_image, image_clahe, CV_Lab2BGR);

cv::cvtColor(lab_image, image_clahe, CV_Lab2RGB);

// display the results  (you might also want to see lab_planes[0] before and after).

//  保存图片

if(imageCont < 3) {

[self saveMat:@"original" src:bgr_image];

}

//  保存图片

if(imageCont < 3){

[self saveMat:@"CLAHE" src:image_clahe];

}

self.MyImageView.image = MatToUIImage(mRgbaMat);

}

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效果图：