#include <opencv2/opencv.hpp>
#include <iostream>using namespace cv;
using namespace std;//手动实现拉普拉斯算子图像锐化
void sharpenImage1(const Mat &image, Mat &result)
{result.create(image.size(), image.type());//为输出图像分配内容  /*拉普拉斯滤波核3*30  -1   0-1   5  -10  -1   0  *///处理除最外围一圈外的所有像素值  for (int i = 1; i<image.rows - 1; i++){const uchar * pre = image.ptr<const uchar>(i - 1);//前一行  const uchar * cur = image.ptr<const uchar>(i);//当前行，第i行  const uchar * next = image.ptr<const uchar>(i + 1);//下一行  uchar * output = result.ptr<uchar>(i);//输出图像的第i行  int ch = image.channels();//通道个数  int startCol = ch;//每一行的开始处理点  int endCol = (image.cols - 1)* ch;//每一行的处理结束点  for (int j = startCol; j < endCol; j++){
//输出图像的遍历指针与当前行的指针同步递增, 以每行的每一个像素点的每一个通道值为一个递增量, 因为要考虑到图像的通道数
//saturate_cast<uchar>保证结果在uchar范围内  *output++ = saturate_cast<uchar>(5 * cur[j] - pre[j] - next[j] - cur[j - ch] - cur[j + ch]);}}//将最外围一圈的像素值设为0  result.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));/*/或者也可以尝试将最外围一圈设置为原图的像素值image.row(0).copyTo(result.row(0));image.row(image.rows-1).copyTo(result.row(result.rows-1));image.col(0).copyTo(result.col(0));image.col(image.cols-1).copyTo(result.col(result.cols-1));*/
}//调用OpenCV函数实现拉普拉斯算子图像锐化
void sharpenImage2(const Mat &image, Mat &result)
{Mat kernel = (Mat_<float>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);filter2D(image, result, image.depth(), kernel);
}//main函数
void main() {Mat mat = imread("E:\\VS2015Opencv\\vs2015\\project\\picture\\01.jpg");Mat result1;Mat result2;Mat dst, gray;sharpenImage1(mat, result1);sharpenImage2(mat, result2);//滤波降噪GaussianBlur(mat, mat, Size(3, 3), 0, 0, BORDER_DEFAULT);//转成灰度图
    cvtColor(mat, gray, COLOR_BGR2GRAY);//运行Sobel算子，得到边缘//求x方向梯度//Laplacian(src, dst, CV_16S, 3, 1,0,BORDER_DEFAULT);Laplacian(mat, dst, CV_16S);//后几个参数有默认值//由于是16位图片，需要将图片转化成为8位图形进行显示
    convertScaleAbs(dst, dst);imshow("调函数检测边缘", dst);namedWindow("src");namedWindow("手动实现");namedWindow("opencv实现");imshow("src", mat);imshow("手动实现", result1);imshow("opencv实现", result2);waitKey(0);
}

#include <opencv2/opencv.hpp>
#include <iostream>using namespace cv;
using namespace std;//调用OpenV函数实现拉普拉斯算子图像锐化
/*拉普拉斯滤波核3*3
0   -1   0
-1   5  -1
0   -1   0  */
void LA(const Mat &image, Mat &result)
{Mat kernel = (Mat_<float>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);filter2D(image, result, image.depth(), kernel);
}/*拉普拉斯滤波核3*3
0  -1   0
-1  4  -1
0  -1   0  */
void LB(const Mat &image, Mat &result)
{Mat kernel = (Mat_<float>(3, 3) << 0, -1, 0, -1, 4, -1, 0, -1, 0);filter2D(image, result, image.depth(), kernel);
}
/*拉普拉斯滤波核3*3
0    1   0
1   -4   1
0    1   0  */
void LC(const Mat &image, Mat &result)
{Mat kernel = (Mat_<float>(3, 3) << 0, 1, 0, 1, -4, 1, 0, 1, 0);filter2D(image, result, image.depth(), kernel);
}/*拉普拉斯滤波核3*3
1  1   1
1 -8   1
1  1   1  */
void LD(const Mat &image, Mat &result)
{Mat kernel = (Mat_<float>(3, 3) << 1, 1, 1, 1, -8, 1, 1, 1, 1);filter2D(image, result, image.depth(), kernel);
}/*拉普拉斯滤波核3*3
-1  -1  -1
-1   8  -1
-1  -1  -1  */
void LE(const Mat &image, Mat &result)
{Mat kernel = (Mat_<float>(3, 3) << -1, -1, -1, -1, 8, -1, -1, -1, -1);filter2D(image, result, image.depth(), kernel);
}
//main函数
void main() {Mat mat = imread("E:\\VS2015Opencv\\vs2015\\project\\picture\\01.jpg");Mat result1, A1, A2, A3;Mat result2;Mat dst, gray;//滤波降噪GaussianBlur(mat, mat, Size(3, 3), 0, 0, BORDER_DEFAULT);LA(mat, result1);LB(mat, A1);LC(mat, A2);LD(mat, A3);LE(mat, result2);//转成灰度图
    cvtColor(mat, gray, COLOR_BGR2GRAY);//运行Sobel算子，得到边缘//求x方向梯度//Laplacian(src, dst, CV_16S, 3, 1,0,BORDER_DEFAULT);Laplacian(mat, dst, CV_16S);//后几个参数有默认值//由于是16位图片，需要将图片转化成为8位图形进行显示
    convertScaleAbs(dst, dst);imshow("调函数检测边缘", dst);namedWindow("src");imshow("src", mat);imshow("LA", result1);imshow("LB", A1);imshow("LC", A2);imshow("LC", A3);imshow("LD", result2);waitKey(0);
}