A study of automatic recognition and counting system of urine-sediment visual components

Author

Zhou, Xiaomou ; Xiao, Xingming ; Ma, Chi

Author_Institution

Coll. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China

Volume

1

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

78

Lastpage

81

Abstract

This paper discusses how to develop automatic recognition and count system for urine-sediment visual components. With the help of image processing technology, image segmentation, representation and description, geometric features and texture features have been extracted. The urine-sediment visual components are categorized and counted through micro-image automatic recognition and count system with neural network classifier based on genetic algorithm.

Keywords

genetic algorithms; image recognition; image representation; image segmentation; medical image processing; counting system; genetic algorithm; geometric feature; image processing technology; image representation; image segmentation; microimage automatic recognition; neural network classifier; texture feature; urine-sediment visual components; Accuracy; Artificial neural networks; Classification algorithms; Feature extraction; Image segmentation; Pattern recognition; Visualization; feature selection; genetic algorithm; image processing; neural network; pattern recognization;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6495-1

Type

conf

DOI

10.1109/BMEI.2010.5639648

Filename

5639648