Adaptive Thresholding

Adaptive thresholding is an image processing technique that automatically adjusts the threshold value for each small region in an image, rather than using a single global value. This method helps distinguish objects from the background even when lighting varies across the image. For example, if some areas are darker or lighter, adaptive thresholding ensures that features are accurately identified by considering local brightness levels. It’s especially useful in scenarios like medical imaging or document scanning, where consistent lighting conditions are hard to maintain, providing clearer, more precise results.