Unifying Statistical Texture Classification Frameworks

Varma, M. ; Zisserman, A. (2004) Unifying Statistical Texture Classification Frameworks Image and Vision Computing, 22 (14). pp. 1175-1183. ISSN 0262-8856

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Official URL: https://doi.org/10.1016/j.imavis.2004.03.012

Related URL: http://dx.doi.org/10.1016/j.imavis.2004.03.012

Abstract

The objective of this paper is to examine statistical approaches to the classification of textured materials from a single image obtained under unknown viewpoint and illumination. The approaches investigated here are based on the joint probability distribution of filter responses.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Texture; Classification; PDF Representation; Textons.
ID Code:119707
Deposited On:16 Jun 2021 10:11
Last Modified:16 Jun 2021 10:11

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