A Study on Image Segmentation by A New Adaptive Algorithm
一种新的图象分割自适应算法的研究

Firstly, an improvement was made on mutation of adaptive genetic algorithm (AGA). The combination of one point mutation and two point mutation could prevent AGA from converging to the local optimum. Secondly, a new method for image segmentation using the improved AGA was put forward. The method of Otsu, the method of histogram based on gray difference and the entropy based methods were compared with this algorithm. The improved AGA was proved to give attention to the main information by experiments. Good results can be achieved from some images. And much less time was used by the algorithm.