New Unsupervised Texture Image Segmentation Method

An algorithm based on Gabor filters is presented to extract image texture character.The extracted features are inputted into the PCNN to segment the image.This method can achieve good segmentation result and improve the algorithm's processing speed.The experiment results show that the proposed method process faster than the traditional method using Gabor filters,meanwhile,both of them have the similar segmentation accuracy.