Adaptive thresholding is a technique used in image processing to convert a grayscale image into a binary image by selecting threshold values dynamically based on local image characteristics. This method is particularly useful in situations where lighting conditions vary across the image, allowing for more accurate segmentation of objects and backgrounds.