A new feature of uniformity of image texture directions coinciding with the human eyes perception

Authors:
Xing-Jian He;Yue Zhang;Tat-Ming Lok;Michael R. Lyu
Affiliations:
Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China;Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China;Information Engineering Dept., The Chinese University of Hong Kong, Shatin, Hong Kong;Computer Science & Engineering Dept., The Chinese University of Hong Kong, Shatin, Hong Kong
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

In this paper we present a new feature of texture images which can scale the uniformity degree of image texture directions. The feature value is obtained by examining the statistic characteristic of the gradient information of the image pixels. Simulation results illustrate that this feature can exactly coincide with the uniformity degree of image texture directions according to the perception of human eyes.