DocumentCode
2072601
Title
Line Extraction with Composite Background Subtract
Author
Deng, H. ; Tian, X. ; Yamazaki, K. ; Mori, M.
Author_Institution
University of California, Davis
fYear
2006
fDate
07-09 June 2006
Firstpage
69
Lastpage
69
Abstract
This paper presents a line extraction method to process images taken inside a machine tool. Instead of using real background images, our approach utilizes a virtual background image. This approach solves the problem of absence of real background images due to a dynamic background. In order to only extract lines of the object, all corners are detected from the real image first. Then, those corners generated from the background are filtered through composite background subtraction. Afterwards, a hypothesis of a line exists between any two corners is made. All the hypothetical lines are mapped back to the original real image to test for their existence. Those lines caused by noises, such as reflections or scratches, can be then eliminated. Our experimental results prove the feasibility and effectiveness of this proposed method..
Keywords
Acoustic reflection; Computational modeling; Computer vision; Machine tools; Manufacturing industries; Object detection; Robot vision systems; Robotic assembly; Service robots; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision, 2006. The 3rd Canadian Conference on
Print_ISBN
0-7695-2542-3
Type
conf
DOI
10.1109/CRV.2006.47
Filename
1640424
Link To Document