Statistical geometric features-extensions for cytological texture analysis

Walker R.F. and Jackway P.T. (1996). Statistical geometric features-extensions for cytological texture analysis. In: Proceedings of the 13th International Conference on Pattern Recognition, ICPR 1996. 13th International Conference on Pattern Recognition, ICPR 1996, Vienna, (790-794). August 25, 1996-August 29, 1996. doi:10.1109/ICPR.1996.546931


Author Walker R.F.
Jackway P.T.
Title of paper Statistical geometric features-extensions for cytological texture analysis
Conference name 13th International Conference on Pattern Recognition, ICPR 1996
Conference location Vienna
Conference dates August 25, 1996-August 29, 1996
Proceedings title Proceedings of the 13th International Conference on Pattern Recognition, ICPR 1996   Check publisher's open access policy
Journal name Proceedings - International Conference on Pattern Recognition   Check publisher's open access policy
Series Proceedings - International Conference on Pattern Recognition
Publisher Institute of Electrical and Electronics Engineers Inc.
Publication Year 1996
Sub-type Fully published paper
DOI 10.1109/ICPR.1996.546931
ISBN 081867282X
ISSN 1051-4651
Volume 2
Start page 790
End page 794
Total pages 5
Abstract/Summary Statistical geometric features (SGF) have recently been proposed for the classification of image textures. The SGF method is easily extended to use other geometric properties of connected regions. Following a brief review of the method, we propose such an extension to the set of SCF features for the purpose of classifying cervical cell textures. The resulting method proves to be as powerful as the gray level co-occurrence matrix (GLCM) method of texture analysis, when tested on a set of 117 cervical cell images. The ability to define features tailored to the geometric properties of the textures concerned makes this method a powerful analysis tool.
Subjects 1707 Computer Vision and Pattern Recognition
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Collection: Scopus Import
 
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Created: Sat, 09 Jul 2016, 06:58:43 EST by System User