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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903629
