Automatic Threshold Selection is a technique used in image processing and data analysis to determine the optimal threshold value for separating different regions or classes within a dataset. It enhances the accuracy and efficiency of segmentation tasks by eliminating the need for manual threshold setting, often employing algorithms like Otsu's method or adaptive thresholding.