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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyoung-Seok Kim Byung-Ryong Lee Rak-Jin Kim |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Mech. & Automotive Eng., Ulsan Univ. (Hyoung-Seok Kim; Byung-Ryong Lee; Rak-Jin Kim) |
| Abstract | Recently, there has been an increasing demand for computer-vision-based inspection and/or measurement system as a part of factory automation equipment. In general, it is almost impossible to check the fault of all parts, coming from part-feeding system, with only manual inspection because of time limitation. Therefore, most of manual inspection is applied to specific samples, not all coming parts, and manual inspection neither guarantee consistent measuring accuracy nor decrease working time. Thus, in order to improve the measuring speed and accuracy of the inspection, a computer-aided measuring and analysis method is highly needed. In this paper, a computer-vision-based pipe inspection system is proposed, where the front and side-view profiles of three different kinds of pipes, coming from a forming line, are acquired by computer vision. And the edge detection is processed by using Laplace operator. To reduce the vision processing time, modified Hough transform is used with clustering method for straight line detection. And the center points and diameters of inner and outer circle are found to determine eccentricity of the parts. Also, an inspection system has been built so that the data and images of faulted parts are stored as files and transferred to the server. |
| Starting Page | 403 |
| Ending Page | 406 |
| File Size | 3986717 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424404266 |
| DOI | 10.1109/IFOST.2006.312344 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-18 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Flowcharts Costs Shape Image edge detection Machine vision Inspection Velocity measurement Manufacturing automation Automotive engineering |
| Content Type | Text |
| Resource Type | Article |
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