The researchers developed a new method to improve image segmentation accuracy by using a genetic algorithm. This method helps to separate different parts of an image more accurately and quickly. By selecting the best threshold values based on the image's characteristics, the algorithm can better distinguish between different areas in the picture. The results showed that this new approach speeds up the segmentation process and makes it more precise, especially for real-time image processing.