Question

鉴于图像，我想改变图像部分的亮度/对比度。

我使用示例here来更改整个图像的亮度/对比度：

RNG rng(cv::getTickCount());
float min_alpha = 0.1;
float max_alpha = 2.0;
float alpha = rng.uniform(min_alpha, max_alpha);
float beta = -2.0;
image.convertTo(new_image, -1, alpha, beta);

有没有办法只在图像的子区域上执行此操作而无需在for循环中迭代整个图像？

Answer 1

您可以通过以下步骤以更简单/更有效的方式执行此操作：

步骤1：裁剪图像中要更改对比度的部分。

步骤2：对此裁剪图像应用适当的对比度/亮度变化。

步骤3：将已更改的图像粘贴回原始图像。

// Step 1
int rect_x = originalImg.cols / 5;
int rect_y = 0;
int rect_width = originalImg.cols / 6;
int rect_height = originalImg.rows;

cv::Rect ROI(rect_x, rect_y, rect_width, rect_height);
cv::Mat cropped_image = originalImg (ROI);

Mat image = imread( argv[1] );
Mat new_image = Mat::zeros( image.size(), image.type() );

// Step 2
std::cout<<" Basic Linear Transforms "<<std::endl;
std::cout<<"-------------------------"<<std::endl;
std::cout<<"* Enter the alpha value [1.0-3.0]: ";std::cin>>alpha;
std::cout<<"* Enter the beta value [0-100]: "; std::cin>>beta;

for( int y = 0; y < cropped_image.rows; y++ ) {
    for( int x = 0; x < cropped_image.cols; x++ ) {
        for( int c = 0; c < 3; c++ ) {
            enhanced_cropped_image.at<Vec3b>(y,x)[c] =
            saturate_cast<uchar>( alpha*( cropped_image.at<Vec3b>(y,x)[c] ) + beta );
        }
    }
}
// Or this for Step 2
float min_alpha = 0.1;
float max_alpha = 2.0;
float alpha = rng.uniform(min_alpha, max_alpha);
float beta = -2.0;
cropped_image.convertTo(enhanced_cropped_image, -1, alpha, beta);
// Step 3
enhanced_cropped_image.copyTo(originalImg(cv::Rect(rect_x, rect_y, rect_width, rect_height)));

希望它有所帮助！

Answer 2

这是一种方法。

更改整个图像的亮度/对比度
指定要裁剪的cv :: Rect区域
将裁剪的部分复制到原始图像中的相同位置

这是我写的一个片段：

 Mat partial_illum_img;
 RNG rng(cv::getTickCount());
 float min_alpha = 0.1;
 float max_alpha = 2.0;
 float alpha = rng.uniform(min_alpha, max_alpha);
 float beta = -2.0;
 image.convertTo(illum_img, -1, alpha, beta);
 image.copyTo(partial_illum_img);

 // Crop a rectangle from converted image
 int rect_x = illum_img.cols / 5;
 int rect_y = 0;
 int rect_width = illum_img.cols / 6;
 int rect_height = illum_img.rows;

 cv::Rect illumROI(rect_x, rect_y, rect_width, rect_height);
 cv::Mat crop_after_illum = illum_img(illumROI);
 crop_after_illum.copyTo(partial_illum_img(cv::Rect(rect_x, rect_y, rect_width, rect_height)));

改变图像部分的亮度和对比度

2 个答案: