Hot spots detection of solar cells based on visual saliency and nonsubsampled contourlet transform - Details

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Hot-spot　effect　is　well-known　in　the　practical　application　of　solar　cells.　The　faults　of　hot　spots　seriously　affect　the　performance　and　service　life　of　solar　cells.　In　order　to　highlight　the　infrared　and　visible　complementary　information　of　hot　spots　and　discover　more　details,　this　paper　presents　a　novel　method,　which　fuses　an　infrared　image　saliency　map　based　on　random　rectangular　regions　of　interest　with　visible　image　by　NonSubsampled　Contourlet　Transform　(NSCT).　Firstly,　the　infrared　hot　spots　image　was　detected　by　saliency　map　which　is　randomly　sampled.　Secondly,　the　infrared　and　visible　image　of　the　hot　spots　are　transformed　into　high-frequency　and　low-frequency　sub-bands　by　NSCT.　Finally,　absolute　value　maximization　and　saliency　map　guidance　are　used　to　fuse　low-frequency　and　high-frequency　sub-bands　respectively.　The　experimental　results　demonstrate　that,　compared　with　a　set　of　related　fusion　methods,　the　presented　method　can　better　highlight　the　hot　spots　and　other　abundant　information　in　visibility.　It　achieves　accurate　defects　locating　ability　and　has　better　performance　on　subjective　and　objective　quality　evaluation.　©　Published　under　licence　by　IOP　Publishing　Ltd.

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[ 1 ] [Dai, L.Y.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 2 ] [Zheng, Q.Y.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 3 ] [Zhou, H.F.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 4 ] [Lin, P.J.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 5 ] [Chen, Z.C.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 6 ] [Wu, L.J.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 7 ] [Cheng, S.Y.]Institute of Micro/Nano Devices and Solar Cells, College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350116, China

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IOP Conference Series: Earth and Environmental Science

ISSN： 1755-1307

Year： 2018

Issue： 1

Volume： 188

Language： English

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