Adaptive thresholding is an image processing technique used to convert grayscale images into binary images by determining a threshold value for each pixel based on the local neighborhood of that pixel. This method is particularly useful in situations where lighting conditions are uneven, allowing for better segmentation of the image by adjusting the threshold dynamically across different regions. It enhances the ability to accurately identify and analyze structures in images, which is essential in monitoring the health of various structures.
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