Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17473
Title: Image retrieval based on multi-texton histogram
Authors: Liu, GH
Zhang, L 
Hou, YK
Li, ZY
Yang, JY
Keywords: Image retrieval
Texton detection
Multi-texton histogram
Issue Date: 2010
Publisher: Elsevier
Source: Pattern recognition, 2010, v. 43, no. 7, p. 2380-2389 How to cite?
Journal: Pattern recognition 
Abstract: This paper presents a novel image feature representation method, called multi-texton histogram (MTH), for image retrieval. MTH integrates the advantages of co-occurrence matrix and histogram by representing the attribute of co-occurrence matrix using histogram. It can be considered as a generalized visual attribute descriptor but without any image segmentation or model training. The proposed MTH method is based on Julesz's textons theory, and it works directly on natural images as a shape descriptor. Meanwhile, it can be used as a color texture descriptor and leads to good performance. The proposed MTH method is extensively tested on the Corel dataset with 15 000 natural images. The results demonstrate that it is much more efficient than representative image feature descriptors, such as the edge orientation auto-correlogram and the texton co-occurrence matrix. It has good discrimination power of color, texture and shape features.
URI: http://hdl.handle.net/10397/17473
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2010.02.012
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