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: Lisang Liu, Fenqiang Liang, Jishi Zheng, Dongwei He, Jing Huang
Format: Article
Language:English
Published: Wiley 2018-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718764639
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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