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- W3109097639 abstract "Aiming at the problem of removing specular in the process of detecting foreign matter in packaging of straw production, an efficient specular removal algorithm based on improved specular-free image (MSF) and chromaticity analysis (SIRBMSFC) is proposed in this paper. Based on the MSF image, diffuse reflection and diffuse reflection plus specular reflection pixel set are separated, and the highlight separation is realized on the single pixel level through chromaticity error analysis and the least-square method of dichromatic reflection model. This algorithm does not require image segmentation or local interaction between adjacent pixels. Experimental results show that the proposed algorithm is robust and fast, and can meet the needs of real-time scenes." @default.
- W3109097639 created "2020-12-07" @default.
- W3109097639 creator A5057409322 @default.
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- W3109097639 date "2020-10-17" @default.
- W3109097639 modified "2023-09-26" @default.
- W3109097639 title "A Specular Removal Algorithm Based on Improved Specular-free Image and Chromaticity Analysis" @default.
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- W3109097639 doi "https://doi.org/10.1109/cisp-bmei51763.2020.9263590" @default.
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