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image processing Technology of Flaws within Infrared Transmitting Glasses

Journal of Wuhan University of Technology(Materials Science) 2012年第6期27卷 1180-1183页

作者：钟忺 YUAN Jingling 陶海征 LIU Yonghua ZU Chengkui School of Computer Science and Technology Huazhong University of Science and&Technology State Key Laboratory of Silicate Materials for Architectures Wuhan University of Technology Institute of Quaru and Special Glasses China Building Materials AcademyBeijing 100024China

We investigated image processing algorithms of the original infrared glass flaw image. Using the Laplacian edge enhancement following LSD （Line Segment Detector） algorithm, we can get a good flaw image very consistent with the original one. This study is very helpful to further enhance the infrared glass flaw inspection technique.

关键词： infrared transmitting materials image processing algorithms flaw image

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Vision and Geolocation Data Combination for Precise Human Detection and Tracking in Search and Rescue Operations

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International Journal of Intelligence Science 2020年第3期10卷 41-64页

作者： Lygouras Eleftherios Department of Production and Management Engineering Democritus University of Thrace Xanthi Greece

In this paper, a study and evaluation of the combination of GPS/GNSS techniques and advanced image processing algorithms for distressed human detection, positioning and tracking, from a fully autonomous Unmanned Aerial Vehicle (UAV)-based rescue support system, are presented. In particular, the issue of human detection both on terrestrial and marine environment under several illumination and background conditions, as the human silhouette in water differs significantly from a terrestrial one, is addressed. A robust approach, including an adaptive distressed human detection algorithm running every N input image frames combined with a much faster tracking algorithm, is proposed. Real time or near-real-time distressed human detection rates achieved, using a single, low cost day/night NIR camera mounted onboard a fully autonomous UAV for Search and Rescue (SAR) operations. Moreover, the generation of our own dataset, for the image processing algorithms training is also presented. Details about both hardware and software configuration as well as the assessment of the proposed approach performance are fully discussed. Last, a comparison of the proposed approach to other human detection methods used in the literature is presented.

关键词： Distressed Human Detection Unmanned Aerial Vehicles (Uavs) Search and Rescue (SAR) Operations Aerial image processing image processing algorithms

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