Study on the Key Image Processing Technology in the Inspection of Packing Quality for Small-Pack Cigarettes

Author

Hu Fang-xia ; He Xin ; Niu Tian-gui

Author_Institution

Chongqing Technol. & Bus. Inst., Chongqing

fYear

2007

fDate

10-12 Dec. 2007

Firstpage

67

Lastpage

71

Abstract

Image processing is a key factor in the inspection of packing quality by machine vision. Targeting the inspection of packing quality for small-pack cigarettes in tobacco enterprises, this paper proposes a series of key image processing techniques: a fast algorithm for small-pack edge collecting based on fast Hough transformation, an online differentiating algorithm based on GLCM parameters, and packing-flaw detection based on SVMs, etc. The key techniques are applicable to the inspection of external product-packing quality, and have engineering referential value for constructing product inspection systems based on machine vision.

Keywords

Hough transforms; image processing; matrix algebra; production engineering computing; quality assurance; tobacco products; GLCM parameter; fast Hough transformation; gray level cooccurence matrix; image processing; machine vision; online differentiating algorithm; packing quality inspection; packing-flaw detection; small-pack cigarette; Belts; Helium; Image edge detection; Image processing; Inspection; Investments; Light emitting diodes; Machine vision; Production; Seals;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Media and its Application in Museum & Heritages, Second Workshop on

Conference_Location

Chongqing

Print_ISBN

0-7695-3065-6

Type

conf

DOI

10.1109/DMAMH.2007.62

Filename

4414529