A Novel Texture Spectrum Descriptor

Shen Hai Yan; Xian Tong Huang; Yang Liu

doi:10.4028/www.scientific.net/AMM.397-400.1494

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400A Novel Texture Spectrum Descriptor

A Novel Texture Spectrum Descriptor

Abstract:

A concept of equivalence classes of texture pattern is put forward according to the visual consistency between the rotation texture and the flip texture. An improved texture spectrum descriptor (iTS) is proposed based on the equivalence classes. The iTS depicts the grayscale variation pattern of the pixels in the image neighbour domain and denotes the texture content of an image with a histogram of texture spectrum. Compared with the basic texture spectrum descriptor (TS), local binary pattern (LBP) and Shis local binary pattern (sLBP), iTS has best precision in the image retrieval experiments. The iTS has stronger ability to describle the texture and more adapt to the image rotation transformation.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

1494-1499

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.1494

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Online since:

September 2013

Authors:

Shen Hai Yan, Xian Tong Huang, Yang Liu

Keywords:

Content-Based Image Retrieval, Local Binary Pattern (LBP), Texture, Texture Spectrum

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