Texture classification using joint statistical representation in space-frequency domain with local quantized patterns

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn , Issue , 2014, Pages 886-889

  Song, Tiecheng ^a   Li, Hongliang ^a   Zeng, Bing ^a,b   Gabbouj, Moncef ^c  

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

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; GRAPHIC METHODS; STATISTICAL METHODS; TEXTURES;

CLASSIFICATION ACCURACY; CO-OCCURRENCE HISTOGRAMS; GLOBAL THRESHOLDING; ILLUMINATION CHANGES; LOCAL BINARY PATTERNS; SPACE-FREQUENCY DOMAIN; STATISTICAL REPRESENTATIONS; TEXTURE CLASSIFICATION;

IMAGE TEXTURE;

EID: 84907389695     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2014.6865278     Document Type: Conference Paper

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