Share Email Print

Proceedings Paper

Multiple contour sequences' segmentation and entity recognition methods in vision measurement
Author(s): Feng Yang; Shoubin Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, an approach is proposed for segmentation of multiple contour sequences and recognition of entities for vision measurement of small precision parts. The approach includes several steps as follows. All contour sequences of the part are detected at the first place. Secondly, a circle identification method is used to find circular contours in contour sequences. The identified circular contours are further fitted as individual circles. Then, curvature method is selected to detect dominant points in the rest contours and height projection method is adopted to classify them as line or arc entities. In the end, the least-squares method is used to merge and add dominant points. Experimental results show lines, arcs and circles can be recognized satisfactorily by using the approach presented.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351M (15 November 2011); doi: 10.1117/12.917812
Show Author Affiliations
Feng Yang, Harbin Institute of Technology (China)
Shoubin Liu, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?