Automatic Analysis of High-Resolution G Bands of Triticum Monococcum Chromosomes Based on the MBNN

Author

Cai, Nian ; Pan, Qing ; Hu, Kuanghu ; Xiong, Haitao

Author_Institution

Guangzhou Higher Educ. Mega Center, Guangdong Univ. of Technol., Guangzhou

Volume

5

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

457

Lastpage

461

Abstract

A method based on the model based neural network (MBNN) is proposed to automatically analyze high-resolution G bands of Triticum monococcum chromosomes. The MBNN-3P is employed to segmented the G-band images. Then five features of chromosomes are extracted from the segmented images. At last, the features are input into the MBNN for classification. The results indicate that the method provides a significant way for the automatic analysis of high-resolution G bands of plant chromosomes accurately.

Keywords

biological techniques; biology computing; botany; cellular biophysics; feature extraction; genetics; image classification; image resolution; image segmentation; neural nets; G-band image segmentation; automatic high-resolution G band analysis; feature extraction; image classification; model-based neural network; triticum monococcum chromosome; Automation; Biological cells; Biophysics; Chaos; Educational technology; Feature extraction; Genetics; Image segmentation; Information analysis; Neural networks; G bands; MBNN; Triticum monococcum chromosomes; automatica analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.632

Filename

4667476