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📷 This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.

Results 102 Pixel-Processing issues
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Log transformation maps a narrow range of low-intensity input values to a wide range of output values. Kindly, assign me this issue.

gssoc21
Level3

Image enhancement in the spatial domain. Kindly, assign me this issue.

gssoc21
Level3

Implement Morphological Transformations for images like 1.Erosion 2.Dilation 3.Opening 4.Closing

gssoc21
Level3

Image gradient using scharr in OpenCV. Kindly assign me this.

gssoc21
Level3

Implementation of the same.

gssoc21
Level3

Implementation of Image Pyramiding technique.

gssoc21
Level3

Issue-91: Added Jupyter, image and readme files for hole detection. Hole detection is done through OpenCV, grayscaling, Gaussian blur, blob detection.

Python programs to capture a user's face and generate dataset. Then, detect and recognize user's face by using opencv. Readme and sample output has been included in this PR.

This PR resolves #11. I have added all the files needed into run the program

This solves issue #5 Files added : - Robert_EdgeDetection.py - Robert_EdgeDetection_img.jpg - Robert_EdgeDetection_output.jpg Files modified : - README.md Original Image - ![Robert_EdgeDetection_img](https://user-images.githubusercontent.com/64397046/111078563-21f1b800-851c-11eb-9f4b-f8109887e8ce.jpg) Output Image - ![Robert_EdgeDetection_output](https://user-images.githubusercontent.com/64397046/111078584-33d35b00-851c-11eb-97a6-0fd5c0973627.jpg)