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Multi-object Recognition in Turbid Water Using Compressive Sensing

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Abstract

Recognizing and classifying plankton in low-contrast images is difficult. A clustering algorithm are proposed to classify plankton and counted them on a compressed sensing frame. The reasonable output is proved in the experiment.

© 2018 The Author(s)

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