Web Reference: Jul 23, 2025 · The article provides a comprehensive overview of various image thresholding techniques used in computer vision, detailing their processes, pros, cons, and applications. In this tutorial, you will learn simple thresholding, adaptive thresholding and Otsu's thresholding. You will learn the functions cv.threshold and cv.adaptiveThreshold. Here, the matter is straight-forward. For every pixel, the same threshold value is applied. Now, we illustrate how to apply one of these thresholding algorithms. This example uses the mean value of pixel intensities. It is a simple and naive threshold value, which is sometimes used as a guess value. For pictures with a bimodal histogram, more specific algorithms can be used.
YouTube Excerpt: This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ...
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