An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means

We propose an image segmentation method based on cellular automata and fuzzy C-means(FCM).The method defines the objective function based on FCM and takes gray level as the object to calculate the minimum objective function by application of one-dimensional cellular automata's self-iteration,realizing the preliminary image segmentation;on that basis,it revises original segmentation results with two-dimensional spatial information of neighborhood.This method can be used for image segmentation not only in grayscale images but also in RS image.