下面的例子以灰度图像为例:
#include <opencv2\highgui\highgui.hpp> #include <opencv2\imgproc\imgproc.hpp> #include <opencv2\core\core.hpp> using namespace cv; void sharpen(const cv::Mat& img_original, cv::Mat& img_altered); void sharpen2D(const cv::Mat& img_original, cv::Mat& img_altered); int main() { cv::Mat img_original = cv::imread("F:\\images\\boldt.jpg", cv::IMREAD_GRAYSCALE ); cv::Mat img_altered = img_original.clone(); // 锐化 sharpen2D(img_original, img_altered); cv::namedWindow("orignal"); cv::imshow("orignal", img_original); cv::namedWindow("altered"); cv::imshow("altered", img_altered); cv::waitKey(); return 0; } void sharpen(const cv::Mat& img_original, cv::Mat& img_altered) { int nc = img_original.cols; int nl = img_original.rows; for(int j=1; j<nl-1; j++) { const uchar* previous = img_original.ptr<const uchar>(j-1); const uchar* current = img_original.ptr<const uchar>(j); const uchar* next = img_original.ptr<const uchar>(j+1); uchar* output = img_altered.ptr<uchar>(j); for(int i=1; i<nc-1; i++) { *output++ = saturate_cast<uchar>( 5 * current[i] - previous[i] - next[i] - current[i-1] - current[i+1] ); } } img_altered.row(0).setTo(cv::Scalar(0)); img_altered.row(nl-1).setTo(cv::Scalar(0)); img_altered.col(0).setTo(cv::Scalar(0)); img_altered.col(nc-1).setTo(cv::Scalar(0)); } void sharpen2D(const cv::Mat& img_original, cv::Mat& img_altered) { Mat kernel(3, 3, CV_32F, cv::Scalar(0)); kernel.at<float>(0,1) = - 1.0; kernel.at<float>(1,0) = - 1.0; kernel.at<float>(1,2) = - 1.0; kernel.at<float>(2,1) = - 1.0; kernel.at<float>(1,1) = 5.0; //Mat_<cv::Scalar> kernel2 = kernel; //kernel2(0,1) = -1.0; //kernel2(1,0) = -1.0; //kernel2(1,2) = -1.0; //kernel2(2,1) = -1.0; //kernel2(1,1) = 5.0; cv::filter2D(img_original, img_altered, img_original.depth(), kernel); }
下面是彩色图像的例子:
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原文:http://www.cnblogs.com/takeaction/p/3747743.html