Ship infrared image edge detection based on an improved adaptive Canny algorithm
Influenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. In this paper, an improved adaptive Canny edge detection algorithm for infrared image of ship is proposed, which aims to solve the threshold of the traditional Canny...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718764639 |
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| _version_ | 1832546776890998784 |
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| author | Lisang Liu Fenqiang Liang Jishi Zheng Dongwei He Jing Huang |
| author_facet | Lisang Liu Fenqiang Liang Jishi Zheng Dongwei He Jing Huang |
| author_sort | Lisang Liu |
| collection | DOAJ |
| description | Influenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. In this paper, an improved adaptive Canny edge detection algorithm for infrared image of ship is proposed, which aims to solve the threshold of the traditional Canny cannot be adjusted automatically and the shortcomings of sensitivity to noise. The contrast limited adaptive histogram equalization algorithm is adopted to enhance the infrared image, the morphological filter replaces the Gauss filter to smooth the image, and the OTSU algorithm is utilized to adjust the high and low thresholds dynamically. The experimental results show that the improved Canny algorithm, which can not only improve the contrast of the image and automatically adjust the threshold but also reduce the background sea clutter and false edges, is an effective edge detection method. |
| format | Article |
| id | doaj-art-f6af49dc644244ac99cd95e8b8767762 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-f6af49dc644244ac99cd95e8b87677622025-02-03T06:47:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-03-011410.1177/1550147718764639Ship infrared image edge detection based on an improved adaptive Canny algorithmLisang Liu0Fenqiang Liang1Jishi Zheng2Dongwei He3Jing Huang4Key Laboratory of Digital Equipment, Fujian University of Technology, Fuzhou, ChinaFujian University of Technology, Fuzhou, ChinaKey Laboratory of Digital Equipment, Fujian University of Technology, Fuzhou, ChinaFujian University of Technology, Fuzhou, ChinaFujian University of Technology, Fuzhou, ChinaInfluenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. In this paper, an improved adaptive Canny edge detection algorithm for infrared image of ship is proposed, which aims to solve the threshold of the traditional Canny cannot be adjusted automatically and the shortcomings of sensitivity to noise. The contrast limited adaptive histogram equalization algorithm is adopted to enhance the infrared image, the morphological filter replaces the Gauss filter to smooth the image, and the OTSU algorithm is utilized to adjust the high and low thresholds dynamically. The experimental results show that the improved Canny algorithm, which can not only improve the contrast of the image and automatically adjust the threshold but also reduce the background sea clutter and false edges, is an effective edge detection method.https://doi.org/10.1177/1550147718764639 |
| spellingShingle | Lisang Liu Fenqiang Liang Jishi Zheng Dongwei He Jing Huang Ship infrared image edge detection based on an improved adaptive Canny algorithm International Journal of Distributed Sensor Networks |
| title | Ship infrared image edge detection based on an improved adaptive Canny algorithm |
| title_full | Ship infrared image edge detection based on an improved adaptive Canny algorithm |
| title_fullStr | Ship infrared image edge detection based on an improved adaptive Canny algorithm |
| title_full_unstemmed | Ship infrared image edge detection based on an improved adaptive Canny algorithm |
| title_short | Ship infrared image edge detection based on an improved adaptive Canny algorithm |
| title_sort | ship infrared image edge detection based on an improved adaptive canny algorithm |
| url | https://doi.org/10.1177/1550147718764639 |
| work_keys_str_mv | AT lisangliu shipinfraredimageedgedetectionbasedonanimprovedadaptivecannyalgorithm AT fenqiangliang shipinfraredimageedgedetectionbasedonanimprovedadaptivecannyalgorithm AT jishizheng shipinfraredimageedgedetectionbasedonanimprovedadaptivecannyalgorithm AT dongweihe shipinfraredimageedgedetectionbasedonanimprovedadaptivecannyalgorithm AT jinghuang shipinfraredimageedgedetectionbasedonanimprovedadaptivecannyalgorithm |