sharpen image

内核及其自定义进行邻域操作：

代码如下：

// b2.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include <OpenCV245.h>using namespace std;using namespace cv;void addValue(Mat &image, int &value){/*int nl = image.rows;int nc = image.cols * image.channels();if (image.isContinuous()){nc *= nl;nl = 1;}for (int j = 0; j < nl; j++){uchar* data = image.ptr<uchar>(j);for (int i = 0; i < nc; i++){if (data[i] > 133 ){data[i] = 255;}}}*/Mat_<Vec3b>::iterator it = image.begin<Vec3b>();Mat_<Vec3b>::iterator itend = image.end<Vec3b>();for (; it != itend ; ++it){(*it)[0] =(*it)[0] + value;}}void sharpen(const Mat &image, Mat &result){result.create(image.size(), image.type());for (int j = 1; j < image.rows - 1; j++){const uchar* previous = image.ptr<const uchar>(j - 1);const uchar* current = image.ptr<const uchar>(j);const uchar* next = image.ptr<const uchar>(j + 1);uchar* output = result.ptr<uchar>(j);for (int i = 1; i < image.cols - 1; i++){*output++ = saturate_cast<uchar>(5*current[i] - current[i - 1] - current[i+1] - previous[i] - next[i]);//saturate_cast是保证将算后的值在灰度的范围内。uchar为8位，则使其范围在0到255之间}}//set the unprocess pixels to 0result.row(0).setTo(Scalar(0));result.row(result.rows - 1).setTo(Scalar(0));result.col(0).setTo(Scalar(0));result.col(result.cols - 1).setTo(Scalar(0));}void sharpen2D(const Mat &image, Mat &result){Mat kernel(3, 3, CV_32F, Scalar(0));kernel.at<float>(1, 1) = 5.0;kernel.at<float>(0, 1) = -1.0;kernel.at<float>(2, 1) = -1.0;kernel.at<float>(1, 0) = -1.0;kernel.at<float>(1, 2) = -1.0;filter2D(image, result, image.depth(), kernel);}int _tmain(int argc, _TCHAR* argv[]){char src_window[] = "src";char dst_window[] = "dst";Mat src = imread("C:\\Users\\sony\\Desktop\\pic\\Lena.jpg", 0);Mat dst;int value = 50;double t;t = static_cast<double>(getTickCount());/*addValue(src, value);*//*sharpen(src, dst);*/sharpen2D(src, dst);    t = static_cast<double>(getTickCount()) - t;cout<<"time : "<< t*0.45<<endl;resize(dst,dst,Size(600, 600));resize(src,src,Size(600,600));imshow("src",src);imshow("dst",dst);waitKey(0);return 0;}