Application of Singular Value Decomposition in Pest Image Detection System

Author

Liu Chunli ; Mou Yi

Author_Institution

Eng. Coll., Anhui Sci. & Technol. Univ., Fengyang, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

667

Lastpage

670

Abstract

The automatic detection system of pest in stored grian is always discussed. Usually this kind of system is based on image processing. The CCD camera is used to get the pest image, and then transmit to computer. There are several problems in this procedure. The obtained image is usually a degradation image, and after transmitting to computer, the image must be stored in hard disk as historical data. The space is occupied. In order to solve the problems, the image restoration, enhancement, and compression should be done. In this paper, singular value decomposition is applied to realize the restoration, enhancement, and compression. The experiments using Matlab 7.0 demonstrate that this method is effective and useful in pest image detection system.

Keywords

CCD image sensors; data compression; image coding; image enhancement; image restoration; object detection; pest control; singular value decomposition; CCD camera; Matlab 7.0; SVD; hard disk; historical data; image compression; image enhancement; image processing; image restoration; pest image detection system; singular value decomposition; Computer aided manufacturing; Design automation; Face recognition; Feature extraction; Geometry; Manufacturing processes; Process planning; Singular value decomposition; Solid modeling; Virtual manufacturing; detection system; image compression; image enhancement; image restoration; singular value decomoposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.676

Filename

5458787