DocumentCode
2876810
Title
Diatom contour analysis using morphological curvature scale spaces
Author
Wilkinson, Mechael H F ; Roerdink, Jos B T M ; Droop, Stephen ; Bayer, Micha
Author_Institution
Dept. of Math. & Comput. Sci., Groningen Univ., Netherlands
Volume
3
fYear
2000
fDate
2000
Firstpage
652
Abstract
A method for shape analysis of diatoms (single-cell algae with silica shells) based on extraction of features on the contour of the cells by multi-scale mathematical morphology is presented. After building a morphological contour curvature scale space, we present a method for extracting the most prominent features by unsupervised cluster analysis. The number of extracted features matches well with those found visually in 92% of the 350 diatom images examined
Keywords
biology computing; edge detection; feature extraction; mathematical morphology; pattern classification; contour analysis; diatoms; feature extraction; mathematical morphology; scale space; shape analysis; single-cell algae; unsupervised cluster analysis; Computer vision; Data mining; Feature extraction; Filters; Humans; Mathematics; Microscopy; Morphology; Shape; Silicon compounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903629
Filename
903629
Link To Document