Canny Edge Detection in OpenCV | Computer vision playlist

Описание

The Canny edge detection is a multi-stage algorithm to detect a wide range of edges in images.

The Canny edge detection algorithm is composed of 4 steps:

1. Noise reduction
2. Gradient calculation
3. Non-maximum suppression
4. Edge Tracking by Hysteresis

In this video, I explained all the above steps in detail.
★ Image blurring - https://youtu.be/RUiROaX84jU

★ link to the google colab notebook -
https://github.com/YashviP/Computer-Vision-Playlist/blob/main/OpenCV/Canny_edge_detection.ipynb

★ All the notebooks and materials of this playlist will be uploaded in this GitHub repo-
https://github.com/YashviP/Computer-Vision-Playlist

If you have any doubts or queries you can comment down here ??, or message me on LinkedIn.

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⭐️ ABOUT ME ⭐️

I am Yashvi Patel, Software Developer with Data science skills and Kaggle Notebook Master. I created this channel to share my knowledge and experience with you all. This channel will include practical tutorials solving problems from Kaggle datasets and competitions. I will upload videos related to Data Science, Machine learning, Deep learning, Natural Language Processing, and Computer vision.