An SA–GA–BP neural network-based color correction algorithm for TCM tongue images

Tongue inspection is an essential part in the four diagnostic methods in traditional Chinese medicine (TCM). Subject to the variation in conditions such as the imperfection of capturing environment, illumination and imaging devices, the captured tongue images usually contain certain color distortion...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 134; s. 111 - 116
Hlavní autori:	Zhuo, Li, Zhang, Jing, Dong, Pei, Zhao, Yingdi, Peng, Bo
Médium:	Journal Article Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.06.2014 Elsevier
Predmet:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Color Color correction Computer science; control theory; systems Computer simulation Connectionism. Neural networks Exact sciences and technology Neural networks Pattern recognition. Digital image processing. Computational geometry SA–GA–BP neural network TCM tongue image Theoretical computing Tongue Training SA–GA–BP neural network TCM tongue image Color correction Backpropagation Computer vision Tongue Neural network Computational complexity Modeling Color image SA-GA-BP neural network Backpropagation algorithm Luminance Experimental result Standard test Genetic algorithm Imaging Simulated annealing Chinese Defect Illumination Skin Diagnosis Medical application Coloration
ISSN:	0925-2312, 1872-8286
On-line prístup:	Získať plný text
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