Robust Image Segmentation Algorithm Based on Rough Sets and Fuzzy C-Means

Image segmentation with the traditional Fuzzy C-means (FCM) algorithm only uses each pixel´s gray value, when the image is corrupted by noises, the accuracy of segmentation will be greatly reduced. So, this paper proposed an image segmentation method which based on rough sets theory and fuzzy c-mean clustering. The test result shows that the method has a good segmentation performance.