The researchers developed a new method for dividing images into different parts, which is crucial for understanding images. They combined genetic algorithms with the OTSU method to find the best threshold for image segmentation. They also used the watershed method to improve the edges of the segmented image. Their experiments showed that this new method is more accurate than traditional ones, even when dealing with noise and changes in the image's shape.