Automated image segmentation method revolutionizes image analysis and object detection.
The article introduces a new method for dividing images into different parts based on their brightness levels. This helps in analyzing images and identifying objects and boundaries more easily. The method groups pixels into four regions using three thresholds - two local and one global. The global threshold is determined by comparing neighboring regions across the image, creating two sets of pixels that are used to find the local thresholds. This automated process simplifies image segmentation and improves accuracy.