Content based threshold adaptation for image processing in industrial application

Author

Aiteanu, Dorin ; Ristic, Danijela ; Graser, Axel

Author_Institution

Inst. of Autom., Bremen Univ., Germany

Volume

2

fYear

2005

fDate

26-29 June 2005

Firstpage

1022

Abstract

In this paper the use of feedback information from a higher level of image processing to adapt the parameter of algorithm at a lover level of processing is considered. The idea behind is to achieve the robust and reliable image processing. The automatic determination of optimal threshold value in two different industrial applications: welding process and character recognition for the applications such as car manufacturing, is presented. The optimal threshold value at image segmentation level is estimated according to the desired result of the overall image processing system.

Keywords

automobile industry; character recognition; content-based retrieval; image segmentation; production engineering computing; automatic determination; car manufacturing; character recognition; content based threshold adaptation; feedback information; image processing; optimal threshold value; welding process; Cameras; Character recognition; Feature extraction; Feedback; Image processing; Image segmentation; Manufacturing industries; Object recognition; Robustness; Welding;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2005. ICCA '05. International Conference on

Print_ISBN

0-7803-9137-3

Type

conf

DOI

10.1109/ICCA.2005.1528272

Filename

1528272