Abstract
The texton theory proposed by Julesz defines textons as hypothetical basic elements for texture images. In this research, we propose an operational interpretation of textons and show experimentally that they can be used in a similarity measure for texture discrimination and characterization. The method is based on evaluation of the complete set of primitives to obtain a smaller set for texture analysis. We call these texture primitives. Similarity between pairs of textured images is defined as a sum of the similarities of the individual selected texture primitives in both images. Extensive experimentation in texture characterization and discrimination using prototype texture images were performed. The results show that the method achieves a large amount of representation reduction (>90%) and yet the proposed similarity obtains impressive results in texture characterization and discrimination.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chiu, D.K.Y., Gadishev, D.A. (1995). Texture comparison based on selected texture primitives. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_143
Download citation
DOI: https://doi.org/10.1007/3-540-60697-1_143
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60697-0
Online ISBN: 978-3-540-49298-6
eBook Packages: Springer Book Archive