Simple application Opencv (d) Sobel (Sobel) operator and Laplace (Laplance) operator

Brief introduction

Sobel (Sobel) operator

Sobel operator is an important field of computer vision processing method. Mainly used to obtain digital images of a ladder, use common sense and physicalEdge detection.
Sobel operator is detected only produce better results, but has a smooth restraining noise, but the resulting thick edge, and the false edge may occur.

Calculation method:

Use function: Sobel () function

application:

Part Code Example:

int main()
{
 Mat src, gray_src,dest;
 src = imread("C:/Users/86159/Desktop/yasina.jpg");
 cvtColor(src, gray_src, COLOR_BGR2GRAY);
 GaussianBlur(gray_src, dest, Size(3, 3), 0, 0);
 Mat dest_x, dest_y;
 Sobel(dest, dest_x, CV_16S, 1, 0, 3);
 Sobel(dest, dest_y, CV_16S, 0, 1, 3);
 convertScaleAbs(dest_x, dest_x);
 convertScaleAbs(dest_y, dest_y);
 Mat dst = Mat(dest.size(), dest.type());
 addWeighted(dest_x, 0.5, dest_y, 0.5, 0, dst);
 bitwise_not(dst, dst);
 namedWindow("原图", WINDOW_AUTOSIZE);
 moveWindow("原图", 50, 0);
 imshow("原图", src);
 namedWindow("效果图", WINDOW_AUTOSIZE);
 moveWindow("效果图", 800, 0);
 imshow("效果图", dst);
 waitKey(0);
 return 0;
}

effect:

Special Notice: Sobel acquired image blending the x and y directions do not necessarily use addWeighted (), available upon request from the best algorithm defines the following examples (G = sqrt (Gx ^ 2 + Gy ^ 2)) is given by:

Mat dst = Mat(dest.size(), dest.type());
 int width = dest_x.cols;
 int heigth = dest_y.rows;
 for (int row = 0; row < heigth; row++)
 {
	 for (int col = 0; col < width; col++)
	 {
	 int x = pow(dest_x.at<uchar>(row, col),2);
  	 int y = pow(dest_y.at<uchar>(row, col),2);
  	 int xy =sqrt(x + y);
  	 dst.at<uchar>(row, col) = xy;
  	 }
  }