Invariant texture classification for biomedical cell specimens via non-linear polar map filtering-Reference-Cited by-同舟云学术

Invariant texture classification for biomedical cell specimens via non-linear polar map filtering

Published:2010-01 Issue:1 Volume:114 Page:44-53
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Kumar S.,Ong S.H.,Ranganath S.,Chew F.T.

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. A new approach to automated pollen analysis;France;Quaternary Science Review,2000

2. Computerized identification of pollen grains by texture analysis;Langford;Review of Palaeobotany and Palynology,1990

3. Pollen texture identification using neural networks;Li;Grana,1999

4. Analysis of infected blood cell images using morphological operators;Ruberto;Image Vision Computing,2002

5. S. Kumar, T. Ong, S. Ong, S. Ranganath, F. Chew, A novel approach to texture differentiation and classification of airborne airspora, in: Third European Symposium in Aerobiology (TESA), 2003, p. 9.

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