Python image Processing (8): Edge detection

Happy Shrimp

http://blog.csdn.net/lights_joy/

Welcome reprint, but please keep the author information

Once a single area plant image has been obtained, the next step seems to be to try to classify these areas. The identification of plant species by form and vein is obviously an intuitive approach, but the application of such methods is limited by the existence of realistic conditions such as leaf overlap and illumination. Nonetheless, we still want to look at the effects of such methods. Similarly, this article does not intend to do theoretical explanation, just want to understand The implementation of Python means.

Try edge detection first.

This is the color image we got earlier, but since edge detection can only use single-channel images, let 's try it first. g component Detection effect:

(b, g, r) = Cv2.split (src) edge_g = cv2. Canny (g, Max.) cv2.imshow (' Edge ', Edge_g)

it's simple. Canny edge Detection, the results are as follows:

Due to lack of knowledge, temporarily unable to do further analysis of this image, eh, continue!

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Python image Processing (8): Edge detection