Adaptive gray level run length features from class distance matrices

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 3, 2000, Pages 738-741

  Albregtsen, Fritz ^b   Nielsen, Birgitte ^a   Danielsen, Håvard E ^a  

^a UNIVERSITY OF OSLO   (Norway)

^b OSLO UNIVERSITY HOSPITAL   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING; SPEECH RECOGNITION;

ADAPTIVE FEATURES; CLASS-DISTANCE; CLASSIFICATION ERRORS; FOUR CLASS PROBLEM; GRAY LEVEL RUN LENGTH; LIVER CELLS; TEXTURE ANALYSIS METHOD; TEXTURE CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 33750924984     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (7)

1. A. Chu, CM. Sehgal, J.F. Greenleaf, Use of gray value distribution of run lengths for texture analysis, Pattern Recognition Letters, Vol. 11, 415-420, 1990.
2. H.E. Danielsen, G. Farrants, A. Reith, Characterization of Chromatin Structure by Image Analysis - A Method for the Assessment of Changes in Chromatin Organization. Scanning Microscopy Supplement, 3: 297-302, 1989.
3. H.E. Danielsen, H.B. Steen, T. Lindmo, A. Reith, Ploidy Distribution in Experimental Liver Carcinogenesis in Mice. Carcinogenesis, 9:1: 59-63, 1988.
4. M.M. Galloway, Texture Analysis Using Gray Level Run Lengths, Computer Graphics and Image Processing, Vol. 4, pp. 172-179, 1975.
5. B. Nielsen, F. Albregtsen, H.E. Danielsen, The use of Fractal Features from the Periphery of Cell Nuclei as a Classification Tool. Analytical Cellular Pathology, in press, 1999.
6. R.F. Walker, P. Jackway, I.D. Longstaff, Recent developments in the use of the co-occurrence matrix for texture recognition, 13th Int. Conf. on Digital Signal Processing, Santorini, Greece, 2nd-4th June, 1997.
7. I.T. Young, P.W. Verbeek, B.H. Mayall, Characterization of chromatin distribution in cell nuclei, Cytometry 7, 467-474, 1986.