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Open Source Computer Vision Library
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57 lines
1.5 KiB
57 lines
1.5 KiB
/** |
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* @file BasicLinearTransforms.cpp |
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* @brief Simple program to change contrast and brightness |
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* @author OpenCV team |
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*/ |
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#include "opencv2/highgui/highgui.hpp" |
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#include <iostream> |
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using namespace cv; |
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double alpha; /**< Simple contrast control */ |
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int beta; /**< Simple brightness control */ |
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/** |
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* @function main |
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* @brief Main function |
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*/ |
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int main( int, char** argv ) |
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{ |
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/// Read image given by user |
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Mat image = imread( argv[1] ); |
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Mat new_image = Mat::zeros( image.size(), image.type() ); |
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/// Initialize values |
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std::cout<<" Basic Linear Transforms "<<std::endl; |
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std::cout<<"-------------------------"<<std::endl; |
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std::cout<<"* Enter the alpha value [1.0-3.0]: ";std::cin>>alpha; |
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std::cout<<"* Enter the beta value [0-100]: "; std::cin>>beta; |
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/// Do the operation new_image(i,j) = alpha*image(i,j) + beta |
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/// Instead of these 'for' loops we could have used simply: |
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/// image.convertTo(new_image, -1, alpha, beta); |
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/// but we wanted to show you how to access the pixels :) |
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for( int y = 0; y < image.rows; y++ ) |
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{ for( int x = 0; x < image.cols; x++ ) |
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{ for( int c = 0; c < 3; c++ ) |
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{ |
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new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta ); |
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} |
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} |
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} |
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/// Create Windows |
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namedWindow("Original Image", 1); |
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namedWindow("New Image", 1); |
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/// Show stuff |
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imshow("Original Image", image); |
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imshow("New Image", new_image); |
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/// Wait until user press some key |
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waitKey(); |
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return 0; |
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}
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