opencv学习之路(3)：黑白图像的锐化，row()，col()，setTo，cv::Scalar()，saturate_cast

图像锐化：

#include <iostream>
#include "opencv2/opencv.hpp"
using namespace std;
/*图像锐化
 *方法1
 *对图片的每个像素进行如下处理：
 *current像素=5*current-up-down-left-right;
 */
void sharpen(const cv::Mat &Image,cv::Mat &result)
{
    int rows =Image.rows;
    int cols =Image.cols*Image.channels();
    result.create(Image.size(),Image.type());
    cout<<"channels:"<<Image.channels();
    if(Image.channels() ==1)
    {
        for(int i=1;i<rows-1;i++)
        {
            const uchar *current =Image.ptr<uchar>(i);
            const uchar *up =Image.ptr<uchar>(i-1);
            const uchar *down =Image.ptr<uchar>(i+1);
            uchar *output =result.ptr<uchar>(i);
            for(int j=1;j<cols-1;j++)
            {
                output[j] =cv::saturate_cast<uchar>(5*current[j]-up[j]-down[j]-current[j-1]-current[j+1]);
            }
        }
    }
    result.row(0).setTo(cv::Scalar(0));
    result.row(result.rows-1).setTo(cv::Scalar(0));
    result.col(0).setTo(cv::Scalar(0));
    result.col(result.cols-1).setTo(cv::Scalar(0));
}

/*图像锐化
 *方法2
 *调用filter2D函数
 */
void sharpen2D(const cv::Mat &image,cv::Mat &result)
{
    cv::Mat kernel(3,3,CV_32F,cv::Scalar(0));
    kernel.at<float>(0,1) =-1;
    kernel.at<float>(1,0) =-1;
    kernel.at<float>(1,1) =5.0;
    kernel.at<float>(1,2) =-1;
    kernel.at<float>(2,1) =-1;
    cv::filter2D(image,result,image.depth(),kernel);
}
int main()
{
    cv::Mat matImage = cv::imread("E:/QtMaterial/images/boldt.jpg",0);
    cv::Mat matOutImage;
    cv::imshow("Orignal",matImage);
//    sharpen(matImage,matOutImage);
    sharpen2D(matImage,matOutImage);
    cv::imshow("Process",matOutImage);
    cv::waitKey();
    return 0;
}