Recognition of multibreak patterns by 8-neighborhood-based General Hough Transform |
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Authors: | Mingwei Wang Xiaolei Wang Zhilei Li |
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Affiliation: | Institute of Modern Optics, Nankai University, Key Laboratory of Opto-electronic Information Science and Technology, Education Ministry of China, Tianjin 300071, People's Republic of China |
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Abstract: | In this paper, an 8-neighborhood-based Generalized Hough Transform (ENGHT) for the recognition of multibreak patterns is proposed, which is different from the Generalized Hough Transform (GHT). The difference between ENGHT and GHT appears in the process for Reference-table (R-table) configuration and for pattern recognition. The theoretic and experimental results show that ENGHT can be employed in the recognition of multibreak patterns with a high precision and a high recognition speed, and reduce the difficulty during the recognition that arose from the broken patterns to be processed by the conventional GHT. ENGHT can be employed in pattern recognition, especially in the multibreak pattern recognition. |
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Keywords: | 8-neighborhood-based Generalized Hough Transform Reference-table 8-neighborhood |
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