Colour Image Segmentation using Texems

Xie Xianghua, Majid Mirmehdi

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

We present two methods to perform colour image segmentation using a generative three-dimensional model that is based on the assumption that an image can be generated through an overlapped placement of a few primitive, exemplar image patches, i.e. texems. Multiscale analysis is used in order to capture sufficient image features and pixel neighbourhood interactions at relatively lower computational costs. Experimental results on synthetic and real images are presented to demonstrate this as a promising alternative approach to popular discriminative methods.
Translated title of the contributionColour Image Segmentation using Texems
Original languageEnglish
Article number1-10
JournalAnnals of the British Machine Vision Association
Volume1(8)
Publication statusPublished - 2007

Bibliographical note

Other identifier: 2000628

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