A simplified texture gradient method for improved image segmentation

Abstract Inspired by the Probability of boundary (Pb) algorithm, a simplified texture gradient method has been developed to locate texture boundaries within gray-scale images. Despite considerable simplification, the proposed algorithm’s ability to locate texture boundaries is comparable with Pb’s texture-boundary method. The proposed texture gradient method is also integrated with a biologically-inspired model, to enable boundaries defined by discontinuities in both intensity and texture to be located. The combined algorithm outperforms the current state-of-art image segmentation method (Pb) when this method is also restricted to using only local cues of intensity and texture at a single-scale