Adaptive thresholding is a fundamental technique in image analysis that plays a crucial role in identifying objects within images. It involves adapting the threshold value dynamically based on local pixel intensities. This dynamic modification allows for more accurate segmentation of objects with {varying{ illumination levels, contrast, and texture