Determining multiscale image feature angles from complex wavelet phases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3656 LNCS, Issue , 2005, Pages 490-498

  Anderson, Ryan ^a   Kingsbury, Nick ^a   Fauqueur, Julien ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER VISION; FEATURE EXTRACTION; WAVELET TRANSFORMS;

2-D IMAGES; COMPLEX WAVELET PHASES; INTER-COEFFICIENT PRODUCT (ICP);

IMAGE ANALYSIS;

EID: 33645977132     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11559573_61     Document Type: Conference Paper

References (3)

1. R. Anderson, N. Kingsbury, and J. Fauqueur, Coarse level object recognition using interlevel products of complex wavelets. In International Conference on Image Processing (ICIP), September 2005.
2. N.G. Kingsbury. Complex wavelets for shift invariant analysis and filtering of signals. Journal of Applied and Computational Harmonic Analysis, (3):234-253, 2001.
3. J. Romberg, M. Wakin, H. Choi, and R. Baraniuk. A Geometric Hidden Markov Tree Wavelet Model. In SPIE Wavelets X, San Diego, CA, August 2003.