A new automatic circular decomposition algorithm applied to blood cells image

Author

Guimarães, Leticia V. ; Suzim, Altamiro A. ; Maeda, Junji

Author_Institution

Fac. of Eng., Muroran Inst. of Technol., Hokkaido, Japan

fYear

2000

fDate

2000

Firstpage

277

Lastpage

280

Abstract

Presents a new automatic circular decomposition algorithm, which proceeds the separation of connected circular particles, in order to locate their center coordinates and estimate their radii. This new algorithm is based on the following supposition “if you are looking for circles you must assume that all objects in an image are circles, until you can prove they are not”. In this work the authors compare this heuristic algorithm with the polygonal approximation based algorithm proposed by Kubo (1988) in their methods and results. Both of them are able to decompose connected blood cells with some differences: the proposed algorithm is implemented in 2 steps, while the polygonal approximation based method is divided in 4 steps and its input parameters present high sensitivity to noise

Keywords

biological techniques; blood; cellular biophysics; image processing; automatic circular decomposition algorithm; blood cells image; connected circular particles separation; heuristic algorithm; input parameters; noise sensitivity; polygonal approximation based algorithm; polygonal approximation based method; Approximation algorithms; Blood; Cells (biology); Clustering algorithms; Clustering methods; Heuristic algorithms; Hospitals; Image analysis; Image segmentation; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Bio-Informatics and Biomedical Engineering, 2000. Proceedings. IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7695-0862-6

Type

conf

DOI

10.1109/BIBE.2000.889618

Filename

889618