There are proves that genetic algorithms remain the most powerful unbiased optimisation techniques for sampling a large solution space. This is because the sampling strategy allows the exploration of the solution space by a strategy that is not biased. They were applied for the digital image processing like image enhancement, segmentation, feature extraction and classification as well as the image generation. The genetic procedure provides a faster convergence to the optimal solution. The constant improvement of genetic algorithms will help to solve various complex image processing tasks in the future. This paper is aimed at reviewing the application of Genetic Algorithm to image segmentation.