OpenCV Sharr Edge Detection

Giriş

OpenCV Edge Detection için bir sürü yöntem sağlıyor.

Örnek

Açıklaması şöyle

OpenCV has several ways to compute edge detection, and we are going to use Scharr, as it performs quite well. Scharr computes a derivative, so it detects the difference in colors in the image. We are interested in the X axis, and we want the result to be a 64-bit float, so our call would be like this:

Şöyle yaparız

edge_x = cv2.Scharr(channel, cv2.CV_64F, 1, 0)

Açıklaması şöyle

As Scharr computes a derivative, the values can be both positive and negative. We are not interested in the sign, but only in the fact that there is an edge. So, we will take the absolute value: 

Şöyle yaparız

edge_x = np.absolute(edge_x)

Açıklaması şöyle

 Another issue is that the values are not bounded on the 0–255 value range that we expect on a single channel image, and the values are floating points, while we need an 8-bit integer. We can fix both the issues with the following line: 

Şöyle yaparız

edge_x = np.uint8(255 * edge_x / np.max(edge_x))