Supervised image segmentation using Q-Shift Dual-Tree Complex Wavelet Transform coefficients with a texton approach-Reference-Cited by-同舟云学术

Supervised image segmentation using Q-Shift Dual-Tree Complex Wavelet Transform coefficients with a texton approach

Published:2015-06-22 Issue:1 Volume:20 Page:227-237
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Kennel Pol,Fiorio Christophe,Borne Frederic

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-015-0491-1.pdf

Reference42 articles.

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3. Soltanian-Zadeh H, Rafiee-Rad F, Pourabdollah-Nejad S (2004) Comparison of multiwavelet, wavelet, haralick, and shape features for microcalcification classification in mammograms. Pattern Recognit 37(10):1973–1986

4. Fauzi MFA, Lewis PH (2006) Automatic texture segmentation for content-based image retrieval application. Pattern Anal Appl 9(4):307–323. doi: 10.1007/s10044-006-0042-x

5. Galun M, Sharon E, Basri R, Brandt A (2003) Texture segmentation by multiscale aggregation of filter responses and shape elements. In: IEEE International Conference on Computer Vision, vol 1. IEEE Computer Society, pp 716–723

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