opencv 笔记17 Imgproc_Lapacian

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include 
#include 

using namespace cv;

/** @函数 main */
int main( int argc, char** argv )
{
  Mat src, src_gray, dst;
  int kernel_size = 3;
  int scale = 1;
  int delta = 0;
  int ddepth = CV_16S;
  char* window_name = "Laplace Demo";

  int c;

  /// 装载图像
  src = imread( argv[1] );

  if( !src.data )
    { return -1; }

  /// 使用高斯滤波消除噪声
  GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );

  /// 转换为灰度图
  cvtColor( src, src_gray, CV_RGB2GRAY );

  /// 创建显示窗口
  namedWindow( window_name, CV_WINDOW_AUTOSIZE );

  /// 使用Laplace函数
  Mat abs_dst;

  Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, BORDER_DEFAULT );
  convertScaleAbs( dst, abs_dst );

  /// 显示结果
  imshow( window_name, abs_dst );

  waitKey(0);

  return 0;
  }

void  Laplacian (const  Mat&  src,  Mat&  dst, int  ddepth, int  ksize=1, double  scale=1, double  delta=0, int  borderType=BORDER_DEFAULT ) ¶

Calculates the Laplacian of an image

Parameters:

src – Source image dst – Destination image; will have the same size and the same number of channels as src ddepth – The desired depth of the destination image ksize – The aperture size used to compute the second-derivative filters, see getDerivKernels() . It must be positive and odd scale – The optional scale factor for the computed Laplacian values (by default, no scaling is applied, see getDerivKernels() ) delta – The optional delta value, added to the results prior to storing them in dst borderType – The pixel extrapolation method, see borderInterpolate()