Paper
8 July 2011 A straight line detection method based on chain codes
Fan Li, Guozhen Li
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80091G (2011) https://doi.org/10.1117/12.896665
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Li and Guozhen Li "A straight line detection method based on chain codes", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091G (8 July 2011); https://doi.org/10.1117/12.896665
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KEYWORDS
Detection and tracking algorithms

Corner detection

Image processing

Lithium

Edge detection

Hough transforms

Tolerancing

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