Estimating the position of parts of an automobile cowl cross bar assembly using CCD camera
- Resource Type
- Conference
- Authors
- Jang, Yong-Soo; Lee, Soon-Geul; Cha, Dong-Hyuk; Moon, Jeonil
- Source
- 2009 International Symposium on Optomechatronic Technologies Optomechatronic Technologies, 2009. ISOT 2009. International Symposium on. :366-370 Sep, 2009
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Automobiles
Charge coupled devices
Charge-coupled image sensors
Inspection
Image segmentation
Assembly systems
Automotive engineering
Image quality
Filters
Labeling
Cowl Cross Bar
Ellipse Detection
Inspection System
Randomized Hough Transform
- Language
This paper realized an inspection system of the cowl cross assembly which is an automotive part using single CCD camera. Edge is extracted by Sobel operator after improving image quality with homomorphic filter. The unnecessary segments and the unnecessary edge elements are removed from the obtained edge image by labeling. The accurate center of the merged segment can be estimated using RHT (Randomized Hough Transform). Existence of defect can be decided by comparing the CAD information of the cowl cross assembly with the estimated center position. Efficiency of the proposed method was proven by accurate inspection result for various target images at the poor environment such as the real industrial field