DocumentCode :
1945578
Title :
Detection of Cell Forms in Multicellular Objects
Author :
Asano, Kohei ; Yoshimura, Motohide ; Abe, Shigeo
Author_Institution :
Graduate Sch. of Sci. & Technol., Kobe Univ.
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
793
Lastpage :
798
Abstract :
This paper addresses a practical method to detect cell forms of multicellular objects. The cell forms in a multicellular image have similar geometry to some extent but it is difficult to detect all cell forms by using constant discriminant analysis. We define cellular certainty as an area and a depth of the cell forms and utilize both watershed and active contour model for the automatic detection of all cell forms. Our method can detect all cell forms automatically by using cellular certainty. We use corneal endothelial cell images and show the effectiveness of our method
Keywords :
cellular biophysics; computational geometry; image enhancement; image segmentation; medical image processing; object detection; active contour model; automatic cell form detection; constant discriminant analysis; corneal endothelial cell image; multicellular object image; watershed transformation; Active contours; Ceramics; Geometry; Global communication; Image analysis; Image edge detection; Microscopy; Minimization methods; Object detection; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631565
Filename :
1631565
Link To Document :
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