DocumentCode :
3538914
Title :
Preparing initial population of genetic algorithm for region growing parameter optimization
Author :
Szénási, Sándor ; Vámossy, Záoltn ; Kozlovszky, Miklós
Author_Institution :
Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
fYear :
2012
fDate :
5-7 Sept. 2012
Firstpage :
47
Lastpage :
54
Abstract :
The processing of microscopic tissue images is nowadays done more and more using special immunodiagnostic-evaluation software products. Often to evaluate the samples, the first step is determining the number and location of cell nuclei. To do this, one of the most promising methods is the region growing, but this algorithm is very sensitive to the appropriate setting of different parameters. Due to the large number of parameters and due to the big set of possible values setting those parameters manually is a quite hard task, so we developed a genetic algorithm to optimize these values. The first step of the development is the statistical analysis of the parameters, and the determination of the important features, to extract valuable information for a to-be-implemented genetic algorithm that will perform the optimization.
Keywords :
biological tissues; genetic algorithms; medical image processing; statistical analysis; biomedical image processing; feature extraction; genetic algorithm; microscopic tissue images; nuclei detection; region growing parameter optimization; special immunodiagnostic-evaluation software products; statistical analysis; Databases; Genetic algorithms; Gold; Medical services; Optimization; Shape; Standards; biomedical image processing; genetic algorithm; nuclei detection; optimization; region growing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
Conference_Location :
Smolenice
Print_ISBN :
978-1-4673-4520-0
Electronic_ISBN :
978-1-4673-4518-7
Type :
conf
DOI :
10.1109/LINDI.2012.6319460
Filename :
6319460
Link To Document :
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