Thresholding is used to create a binary image from a grayscale image . It is the simplest way to segment objects from a background. There are two types of thresholding - Simple Thresholding and Adaptive Thresholding.
In this video I explained Simple and adaptive thresholding both and how to apply them using opencv-python and I also explained Otsu’s Binarization.

★ link to the google colab notebook -
[ Ссылка ]

★ All the notebooks and materials of this playlist will be uploaded in this GitHub repo- [ Ссылка ]

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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.

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