DocumentCode
3209659
Title
Color difference detection based on BP neural network
Author
Shen, Yinghua ; Lü, Chaohui ; Xu, Pin ; Yang, Yu
Author_Institution
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
Volume
2
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
258
Lastpage
261
Abstract
Color is an important indicator of product quality evaluation. In this paper, a method of color difference detection based on BP neural network was proposed. RGB values of objects were firstly extracted, which were three inputs of BP neural network. Then the trained neural network converted RGB values to L*a*b* values. Finally, according to the formula of the color difference, the objective quantificational value was calculated. The experimental results show that the proposed method can detect and analyze the color difference of objects.
Keywords
backpropagation; feature extraction; image colour analysis; neural nets; BP neural network; L*a*b* value; RGB value; color difference detection; objective quantificational value; product quality evaluation; Green products; Image color analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643741
Filename
5643741
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