Noise-robust texture description using local contrast patterns via global measures

IEEE Signal Processing Letters

Volumn 21, Issue 1, 2014, Pages 93-96

  Song, Tiecheng ^a   Li, Hongliang ^a   Meng, Fanman ^a   Wu, Qingbo ^a   Luo, Bing ^a   Zeng, Bing ^a   Gabbouj, Moncef ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Gaussian noise; Image feature; Local binary pattern (LBP); Texture classification; Texture descriptor

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC);

COMPACT FEATURES; IMAGE FEATURES; LOCAL BINARY PATTERNS; STATE-OF-THE-ART METHODS; TEXTURE CLASSIFICATION; TEXTURE DESCRIPTION; TEXTURE DESCRIPTOR; TEXTURE REPRESENTATION;

TEXTURES;

EID: 84898470895     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2013.2293335     Document Type: Article

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