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首页> 外文会议>Conference on Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003 Apr 23-25, 2003 Orlando, Florida, USA >Multiple Algorithm Fusion in a Corrosion Detection Algorithm used with Shipboard Tank and Void Inspection Systems
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Multiple Algorithm Fusion in a Corrosion Detection Algorithm used with Shipboard Tank and Void Inspection Systems

机译：舰船液舱和空洞检查系统腐蚀检测算法中的多种算法融合

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Over the last several years, the Naval Research Laboratory has developed video based systems for inspecting tanks (ballast, potable water, fuel, etc.) and other voids on ships. Over this past year, we have extensively utilized the Insertable Stalk Inspection System (ISIS) to perform inspections of shipboard tanks and voids. This system collects between 15 and 30 images of the tank or void being inspected as well as a video archive of the complete inspection process. A corrosion detection algorithm analyzes the collected imagery. The corrosion detection algorithm output is the percent coatings damage in the tank being inspected. The corrosion detection algorithm consists of four independent algorithms that each separately assesses the coatings damage in each of the images that are analyzed. The algorithm results are fused to attain a single coatings damage value for each of the analyzed images. The damage values for each of the images are next aggregated in order to develop a single coatings damage value for the tank being inspected. This paper concentrates on the methods used to fuse the results from the four independent algorithms that assess corrosion damage at the individual image level as well as the methods used to aggregate the results from multiple images to attain a single coatings damage level. Results from both calibration tests and double blind testing are provided in the paper to demonstrate the advantages of the video inspection systems and the corrosion detection algorithm.
机译：在过去的几年中，海军研究实验室开发了基于视频的系统，用于检查坦克（压载水，饮用水，燃料等）和船舶上的其他空隙。在过去的一年中，我们广泛使用了可插入式茎杆检查系统（ISIS）对船上的液货舱和空隙进行检查。该系统收集要检查的储罐或空隙的图像在15到30之间，以及完整检查过程的视频档案。腐蚀检测算法分析收集的图像。腐蚀检测算法的输出是被检查罐中涂层损坏的百分比。腐蚀检测算法由四个独立的算法组成，每个算法分别评估所分析的每个图像中的涂层损伤。融合算法结果，以获得每个分析图像的单个涂层损坏值。接下来汇总每个图像的损坏值，以便为被检查的储罐得出一个单一的涂层损坏值。本文着重介绍用于融合四种独立算法的结果的方法，这些算法在单个图像级别评估腐蚀损伤，以及用于汇总来自多个图像的结果以达到单个涂层损伤级别的方法。本文提供了校准测试和双盲测试的结果，以证明视频检查系统和腐蚀检测算法的优势。

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