Image segmentation based on 2D Renyi gray entropy and Fuzzy Clustering

Because of the high calculating complexity of classical two-dimensional Renyi entropy thresholding, an improved algorithm is proposed in the paper. Instead of calculating the traditional 2D Renyi threshold, it reduced the complexity by computing two 1D Renyi threshold. In order to improve the global segmentation performance, we adopted FCM (Fuzzy C-means Clustering) to the algorithm. Experimental results showed that this improved algorithm gave full play to the advantages of both, validating the effectiveness of improved algorithm.