Designing compact gabor filter banks for efficient texture feature extraction

11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Volumn , Issue , 2010, Pages 1193-1197

  Li, Weitao ^a   Mao, KeZhi ^b   Zhang, Hong ^c   Chai, Tianyou ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Gabor filter bank design; Mahalanobis separability; Supervised selection approach; Texture feature extraction

Indexed keywords

BENCHMARK DATASETS; COMPACT FILTER; FILTER SELECTION; GABOR FILTER; GABOR FILTER BANKS; GABOR FILTERING; GAUSSIAN ENVELOPE; MAHALANOBIS; MAHALANOBIS SEPARABILITY; SEPARABILITY MEASURE; SMOOTHING PARAMETER; SUPERVISED SELECTION APPROACH; TEXTURE CLASSIFICATION; TEXTURE FEATURE EXTRACTION; TEXTURE FEATURES; TRIAL AND ERROR;

COMPUTER VISION; DESIGN; FEATURE EXTRACTION; IMAGE SEGMENTATION; ROBOTICS; TEXTURES;

FILTER BANKS;

EID: 79952374029     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2010.5707806     Document Type: Conference Paper

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