Multi-level thresholding is a computer vision technique used to segment an image into multiple regions based on pixel intensity values. Instead of using a single threshold value, this method applies multiple thresholds to classify pixels into different categories, allowing for more complex and accurate representations of the image. This approach is particularly useful for images with varying lighting conditions or multiple objects with different colors and textures.
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