Title :
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
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;
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
DOI :
10.1109/ICMTMA.2010.676
