Using the Granold for texture classification

Jones, Damian G. and Jackway, Paul T. (1999). Using the Granold for texture classification. In: A Pearce and M Robey, Proceedings of the Fifth International/National Biennial Conference on Digital Image Computing, Techniques, and Applications. DICTA'99, Perth, (270-274). 7-8 December 1999.

Author Jones, Damian G.
Jackway, Paul T.
Title of paper Using the Granold for texture classification
Conference name DICTA'99
Conference location Perth
Conference dates 7-8 December 1999
Proceedings title Proceedings of the Fifth International/National Biennial Conference on Digital Image Computing, Techniques, and Applications
Place of Publication Perth
Publisher Aust. Pattern Recognition Society
Publication Year 1999
Sub-type Fully published paper
ISBN 1863428380
Editor A Pearce
M Robey
Start page 270
End page 274
Total pages 5
Collection year 1999
Language eng
Abstract/Summary This paper describes the use the granold texture representation for image texture classification. The granold uses two different parameterised monotonic mappings to transform an input image into a function on two dimensions that may be regarded as a surface. The nature of this surface is such that corners appear at positions where there are simultaneously large changes in the response of the monotonic mappings to the input image. The shape and position of these corners is then analysed to provide information about the texture of the input image. Marginal probability mass functions are presented as a means to extract features from the granold for image texture classification purposes. A 16 class and a 2 class image texture classification experiment are described and their results discussed. The conclusion is that features extracted from the granold have discriminant power for image texture analysis.
Subjects E1
780101 Mathematical sciences
280203 Image Processing
Q-Index Code E1

 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 06 Jun 2008, 16:38:07 EST