The shape edge measure of automobile airbag based on image processing

Author

Mujun Xie ; Peng Gao ; Zhiqian Wang ; Yuanchun Li

Author_Institution

Sch. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China

fYear

2012

fDate

18-20 Oct. 2012

Firstpage

678

Lastpage

681

Abstract

At present, micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD, and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper, and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible, intuitive and clear.

Keywords

automotive components; edge detection; feature extraction; image matching; image segmentation; micrometry; shape recognition; CCD; Canny edge detection algorithm; detection speed; image edge extraction; image processing-based airbag shape edge detection; image processing-based automobile airbag; image similarity degree; micrometer; shape airbag edge; shape edge measurement; template matching process; test data; Automobiles; Educational institutions; Filtering algorithms; Image edge detection; Shape; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-1743-6

Type

conf

DOI

10.1109/ICACI.2012.6463253

Filename

6463253