A simplified texture gradient method for improved image segmentation

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
197 Downloads (Pure)

Abstract

Inspired by the probability of boundary (Pb) algorithm, a simplified texture gradient method has been developed to locate texture boundaries within grayscale 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.
Original languageEnglish
Pages (from-to)679-686
JournalSignal, Image and Video Processing
Volume10
Issue number4
Early online date4 Jul 2015
DOIs
Publication statusPublished - Apr 2016

Fingerprint

Dive into the research topics of 'A simplified texture gradient method for improved image segmentation'. Together they form a unique fingerprint.

Cite this