Binarization of Colorful Tongue Image on the Basis of Neural Network
Abstract
In this paper, artificial neural network is used to process colorful tongue images. Six features of colorful tongue images, including the means of HSI, and deviations of HSI, are extracted as the input vector. The threshold is the output vector. Then train the neural network. To verify the neural network, some color tongue images are used, and the good effect can be seen.
Keywords
Neural network, Color image, Binarization
DOI
10.12783/dtcse/msota2018/27521
10.12783/dtcse/msota2018/27521
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