Adaptive Threshold

Adaptive threshold is a technique used in image processing to distinguish objects from the background by setting a dynamic cutoff point. Unlike a fixed threshold (which uses the same value everywhere), adaptive threshold adjusts based on local variations in lighting or background underneath different parts of the image. This makes it effective for images with uneven illumination, ensuring that objects are accurately identified regardless of brightness differences across the scene. Essentially, it automatically fine-tunes the threshold for each part of the image to improve detection accuracy.