Abstract
Palm color [1] is of important significance for the clinical auxiliary diagnosis [2]. The extraction [3] of palm color feature used HSV colormodel [4]. The interval of three color components are extracted and enlarged after experimental analysis. To reduce the processing complexity, each component has been quantized according to color density. Extract the color spots used watershed segmentation algorithm based on control tags and the spots have been divided into several categories. It provides high performance with recognition rate, and reduces the running time, which can identify the palm color spots quickly.
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Kang, B., Liu, F., Jiang, S. (2016). The Identification to the Palm Color Spots Based on Improved HSV Model. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_65
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DOI: https://doi.org/10.1007/978-3-662-49155-3_65
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