An Improved Canny Algorithm with Adaptive Threshold Selection
Canny is a classic algorithm of edge detection which has been widely applied in various fields of image processing for years. However, the algorithm has some defects. The most serious defect is that the traditional canny algorithm can’t set threshold adaptively. If the threshold set manually is not...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2015-01-01
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| Series: | MATEC Web of Conferences |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20152201017 |
| _version_ | 1818918076531343360 |
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| author | Wang Yupeng Li Jiangyun |
| author_facet | Wang Yupeng Li Jiangyun |
| author_sort | Wang Yupeng |
| collection | DOAJ |
| description | Canny is a classic algorithm of edge detection which has been widely applied in various fields of image processing for years. However, the algorithm has some defects. The most serious defect is that the traditional canny algorithm can’t set threshold adaptively. If the threshold set manually is not accurate, it will seriously affect the quality of the algorithm to detect the edge. This makes the poor adaptability of the algorithm. This paper proposes a method which combines maximum entropy method with Otsu method to determine the high and low threshold of Canny algorithm. Experiments show that the modified algorithm has stronger robustness than traditional method. For the images which have complex distributions of grey level histogram, the modified algorithm has better performance. |
| first_indexed | 2024-12-20T00:44:13Z |
| format | Article |
| id | doaj.art-60166fc0bb9d42899cc9d9eb1c309d51 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T00:44:13Z |
| publishDate | 2015-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-60166fc0bb9d42899cc9d9eb1c309d512022-12-21T19:59:27ZengEDP SciencesMATEC Web of Conferences2261-236X2015-01-01220101710.1051/matecconf/20152201017matecconf_iceta2015_01017An Improved Canny Algorithm with Adaptive Threshold SelectionWang YupengLi JiangyunCanny is a classic algorithm of edge detection which has been widely applied in various fields of image processing for years. However, the algorithm has some defects. The most serious defect is that the traditional canny algorithm can’t set threshold adaptively. If the threshold set manually is not accurate, it will seriously affect the quality of the algorithm to detect the edge. This makes the poor adaptability of the algorithm. This paper proposes a method which combines maximum entropy method with Otsu method to determine the high and low threshold of Canny algorithm. Experiments show that the modified algorithm has stronger robustness than traditional method. For the images which have complex distributions of grey level histogram, the modified algorithm has better performance.http://dx.doi.org/10.1051/matecconf/20152201017edge detectionadaptive thresholdmaximum entropy methodOtsu methodCanny algorithm |
| spellingShingle | Wang Yupeng Li Jiangyun An Improved Canny Algorithm with Adaptive Threshold Selection MATEC Web of Conferences edge detection adaptive threshold maximum entropy method Otsu method Canny algorithm |
| title | An Improved Canny Algorithm with Adaptive Threshold Selection |
| title_full | An Improved Canny Algorithm with Adaptive Threshold Selection |
| title_fullStr | An Improved Canny Algorithm with Adaptive Threshold Selection |
| title_full_unstemmed | An Improved Canny Algorithm with Adaptive Threshold Selection |
| title_short | An Improved Canny Algorithm with Adaptive Threshold Selection |
| title_sort | improved canny algorithm with adaptive threshold selection |
| topic | edge detection adaptive threshold maximum entropy method Otsu method Canny algorithm |
| url | http://dx.doi.org/10.1051/matecconf/20152201017 |
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