Texture spectral similarity criteria. Issue 11 (12th August 2019)

• Record Type: Journal Article
• Authors: Havlíček, Michal; Haindl, Michal
• Is Part Of: IET image processing. Volume 13:Issue 11(2019)
• Page Start: 1998
• Page End: 2007
• Publication Date: 2019-08-12
• Subjects: geophysical image processing -- image texture; texture spectral similarity criteria -- new similarity criteria -- bidirectional texture functions -- BTF -- hyperspectral textures -- multispectral pixel values -- similar values -- optimal modelling -- spectral based texture retrieval; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2019.0250
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : New similarity criteria capable of assessing spectral modelling plausibility of colour, bidirectional texture functions (BTF), and hyperspectral textures are presented. The criteria credibly compare the multi‐spectral pixel values of the textures. They simultaneously consider the pixels of similar values and their mutual ratios. It allows support of the optimal modelling or acquisition setup development by comparing the original data with its synthetic simulations. Analytical applications of the criteria can be spectral based texture retrieval or classification. The suggested criteria together with existing alternatives are extensively tested and compared on a wide variety of colour, BTF, and hyperspectral textures. The performance quality of the criteria is examined in a long series of thousands specially designed monotonically degrading experiments, where proposed ones outperform all tested alternatives.