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Content Provider | IEEE Xplore Digital Library |
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Author | Hongtao Hu Zhouli Li |
Copyright Year | 2012 |
Description | Author affiliation: School of Computer Science, Xi'an ShiYou University, Xi'an, China (Hongtao Hu; Zhouli Li) |
Abstract | Hough Transform is a well-known effective method for circle detection. However, Hough Transform requires massive storage space and huge cost in computation time. For the purpose of real-time image segmentation during lateral multi-lens video logging, this paper presents an algorithm for quick circle detection based on Hough Transform. The proposed method is consisted of three sequential steps. First, a chain code of the targeting image is computed by boundary detection method. Secondly, a candidate circle is determined by picking three points from the chain code following a certain rule. Finally, the candidate circle is identified by referring to the available radius. The following experiments show the proposed algorithm can effectively solve the issues of Hough Transform, i.e. small storage space and less computation time. What is more, more than one circle could be identified in the targeting image. |
Starting Page | 817 |
Ending Page | 821 |
File Size | 448129 |
Page Count | 5 |
File Format | |
ISBN | 9781467301732 |
e-ISBN | 9781467301749 |
DOI | 10.1109/ICALIP.2012.6376726 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-16 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Charge coupled devices Computers Algorithm design and analysis Image segmentation Transforms Arrays Lenses |
Content Type | Text |
Resource Type | Article |
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