Adaptive basis selection for multi texture segmentation by M-band wavelet packet frames

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 622-625

  Acharyya, M ^a   Kundu, M K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BANDPASS FILTERS; IMAGE SEGMENTATION; TEXTURES; TRANSFER FUNCTIONS; WAVELET TRANSFORMS;

ADAPTIVE BASIS SELECTION; DISCRETE M-BAND WAVELET PACKET FRAME; DYADIC WAVELETS; K-MEANS CLUSTERING ALGORITHM;

FEATURE EXTRACTION;

EID: 0035158963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Unsupervised texture segmentation using gabor filters
2. Filtering for texture classification: A comparative study
3. Texture analysis and classification with tree structured wavelet transform
4. Frame representation for texture segmentation
5. Texture recognition using a non-parametric multi-scale statistical model
6. Independent component analysis of textures
7. Design of efficient m-band coders with linear phase and perfect reconstruction properties