Image segmentation technology is crucial in digital image research. Existing methods lack a standard and are limited in their applicability. To address this, genetic algorithms, which mimic biological evolution, are used to find optimal solutions for image segmentation. By applying genetic algorithms, researchers have found that image segmentation is more effective compared to traditional methods. This approach offers robustness, adaptability, and faster results, improving the overall quality of image segmentation.