Rotation-covariant texture learning using steerable riesz wavelets

IEEE Transactions on Image Processing

Volumn 23, Issue 2, 2014, Pages 898-908

  Depeursinge, Adrien ^a,b,c   Foncubierta Rodriguez, Antonio ^a,b   Van De Ville, Dimitri ^b,d   Muller, Henning ^a,b  

^a UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

^b UNIVERSITY OF GENEVA   (Switzerland)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d EPFL   (Switzerland)

Author keywords

feature learning; illumination invariance; rotation covariance; steerability; Texture classification; wavelet analysis

Indexed keywords

FEATURE LEARNING; ILLUMINATION INVARIANCE; ROTATION-COVARIANCE; STEERABILITY; TEXTURE CLASSIFICATION;

OPTIMIZATION; WAVELET ANALYSIS;

TEXTURES;

EID: 84893043912     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2295755     Document Type: Article

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