OpenCV Python for Image Segmentation using Prewitt, Sobel, Canny part IV

In Image Segmentation edge detection is very important to identify the objects in the image. so edge is most important feature which we need to extract.
An edge in an image is a significant local change in the intensity .

This video concentrates on implementation of edge detection using Robert, Prewitt, Sobel, Canny Operator using OpenCV Python. All these techniques are compared with different images in detail here.

For more details refer the following videos also:-
1) Image Segmentation with Gradient concept Part-I

2) Learn theoretical concept of image Segmentation with Robert, Prewitt, Sobel, Compass Operator Part-II

3) Image segmentation using Laplacian operator Part-III

References:
Python tool
images from google search engine
Book:- 'Digital Image processing' by Gonzalez R.C.

For more such contents :-
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[nelsonjoseph]

I think the prewitt_x and prewitt_y are exchanged this can cause the horizontal prewitt fliter to be used for detecting the vertical edges and viseversa. The prewit_x values are [[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]]. The center column values are kept [0, 0, 0] inorder to convolve through the image horizontally and to find the significant changes.