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Proceedings Paper

A straight line detection method based on chain codes
Author(s): Fan Li; Guozhen Li
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Paper Abstract

Straight line detection is still a challenging task in image processing. Though many methods have been put forward before, most of them have some limitations. In this paper, we propose a novel method for straight line detection based on chain codes. Different from the former methods based on chain codes, this method doesn't rely too much on the Freeman's criteria. A more robust and reasonable criterion is adopted for detection, and an algorithm is presented to make this criterion works. Then we seek for a solution to the problem of corner points locating error that exists in all the chain codes tracking methods. We also suggest a criterion for correcting corner points, and present a strategy which can save computation time. The results show that our method has better performance than the traditional methods.

Paper Details

Date Published: 9 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091G (9 July 2011); doi: 10.1117/12.896665
Show Author Affiliations
Fan Li, Arizona State Univ. (United States)
Guozhen Li, Sun Yat-sen Univ. (China)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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