A New Unsupervised Texture Segmentation Method Using Gabor Wavelet

A new unsupervised texture segmentation method is proposed by using Gabor wavelet.Compared to the classic one,we add Gabor scale relationships and space constraints features to the multi-scale features.In order to find prominent features for segmentation,texture features are integrated by independent component analysis(ICA).The effectiveness of the proposed method is demonstrated by using a set of images from the Brodatz texture album.