A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets
Infrared maritime target detection is the key technology of maritime target search systems. However, infrared images generally have the defects of low signal-to-noise ratio and low resolution. At the same time, the maritime environment is complicated and changeable. Under the interference of islands...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/4/1237 |
| _version_ | 1811185795989504000 |
|---|---|
| author | Yuwei Lu Lili Dong Tong Zhang Wenhai Xu |
| author_facet | Yuwei Lu Lili Dong Tong Zhang Wenhai Xu |
| author_sort | Yuwei Lu |
| collection | DOAJ |
| description | Infrared maritime target detection is the key technology of maritime target search systems. However, infrared images generally have the defects of low signal-to-noise ratio and low resolution. At the same time, the maritime environment is complicated and changeable. Under the interference of islands, waves and other disturbances, the brightness of small dim targets is easily obscured, which makes them difficult to distinguish. This is difficult for traditional target detection algorithms to deal with. In order to solve these problems, through the analysis of infrared maritime images under a variety of sea conditions including small dim targets, this paper concludes that in infrared maritime images, small targets occupy very few pixels, often do not have any edge contour information, and the gray value and contrast values are very low. The background such as island and strong sea wave occupies a large number of pixels, with obvious texture features, and often has a high gray value. By deeply analyzing the difference between the target and the background, this paper proposes a detection algorithm (SRGM) for infrared small dim targets under different maritime background. Firstly, this algorithm proposes an efficient maritime background filter for the common background in the infrared maritime image. Firstly, the median filter based on the sensitive region selection is used to extract the image background accurately, and then the background is eliminated by image difference with the original image. In addition, this article analyzes the differences in gradient features between strong interference caused by the background and targets, proposes a small dim target extraction operator with two analysis factors that fit the target features perfectly and combines the adaptive threshold segmentation to realize the accurate extraction of the small dim target. The experimental results show that compared with the current popular small dim target detection algorithms, this paper has better performance for target detection in various maritime environments. |
| first_indexed | 2024-04-11T13:36:20Z |
| format | Article |
| id | doaj.art-4a0ab2d0f6ac458e810531f2857530c7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:36:20Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4a0ab2d0f6ac458e810531f2857530c72022-12-22T04:21:28ZengMDPI AGSensors1424-82202020-02-01204123710.3390/s20041237s20041237A Robust Detection Algorithm for Infrared Maritime Small and Dim TargetsYuwei Lu0Lili Dong1Tong Zhang2Wenhai Xu3School of Information Science & Technology, Dalian Maritime University, 1 Linghai Road, Ganjingzi District, Dalian 116033, ChinaSchool of Information Science & Technology, Dalian Maritime University, 1 Linghai Road, Ganjingzi District, Dalian 116033, ChinaSchool of Information Science & Technology, Dalian Maritime University, 1 Linghai Road, Ganjingzi District, Dalian 116033, ChinaSchool of Information Science & Technology, Dalian Maritime University, 1 Linghai Road, Ganjingzi District, Dalian 116033, ChinaInfrared maritime target detection is the key technology of maritime target search systems. However, infrared images generally have the defects of low signal-to-noise ratio and low resolution. At the same time, the maritime environment is complicated and changeable. Under the interference of islands, waves and other disturbances, the brightness of small dim targets is easily obscured, which makes them difficult to distinguish. This is difficult for traditional target detection algorithms to deal with. In order to solve these problems, through the analysis of infrared maritime images under a variety of sea conditions including small dim targets, this paper concludes that in infrared maritime images, small targets occupy very few pixels, often do not have any edge contour information, and the gray value and contrast values are very low. The background such as island and strong sea wave occupies a large number of pixels, with obvious texture features, and often has a high gray value. By deeply analyzing the difference between the target and the background, this paper proposes a detection algorithm (SRGM) for infrared small dim targets under different maritime background. Firstly, this algorithm proposes an efficient maritime background filter for the common background in the infrared maritime image. Firstly, the median filter based on the sensitive region selection is used to extract the image background accurately, and then the background is eliminated by image difference with the original image. In addition, this article analyzes the differences in gradient features between strong interference caused by the background and targets, proposes a small dim target extraction operator with two analysis factors that fit the target features perfectly and combines the adaptive threshold segmentation to realize the accurate extraction of the small dim target. The experimental results show that compared with the current popular small dim target detection algorithms, this paper has better performance for target detection in various maritime environments.https://www.mdpi.com/1424-8220/20/4/1237infrared maritime target detectionsmall dim targetmedian filtergradient featureadaptive segmentation |
| spellingShingle | Yuwei Lu Lili Dong Tong Zhang Wenhai Xu A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets Sensors infrared maritime target detection small dim target median filter gradient feature adaptive segmentation |
| title | A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets |
| title_full | A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets |
| title_fullStr | A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets |
| title_full_unstemmed | A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets |
| title_short | A Robust Detection Algorithm for Infrared Maritime Small and Dim Targets |
| title_sort | robust detection algorithm for infrared maritime small and dim targets |
| topic | infrared maritime target detection small dim target median filter gradient feature adaptive segmentation |
| url | https://www.mdpi.com/1424-8220/20/4/1237 |
| work_keys_str_mv | AT yuweilu arobustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT lilidong arobustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT tongzhang arobustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT wenhaixu arobustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT yuweilu robustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT lilidong robustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT tongzhang robustdetectionalgorithmforinfraredmaritimesmallanddimtargets AT wenhaixu robustdetectionalgorithmforinfraredmaritimesmallanddimtargets |