DocumentCode :
3279012
Title :
Study on HSI color model-based fruit quailty evaluation
Author :
Yizhong Wang ; Yanhua Cui ; Shaohui Chen ; Ping Zhang ; Huafang Huang ; Huang, George Q.
Author_Institution :
Sch. of Electron. Inf. & Autom., Tianjin Univ. of Sci. & Technol., Tianjin, China
Volume :
6
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2677
Lastpage :
2680
Abstract :
In order to evaluate the qualities of fruits, a new method based on HSI color model was proposed in this paper. An image of fruits was taken and transferred from the RGB color model to the HSI color model. Its simplified histogram of hue H was calculated, which was used as the input of a designed BP network. The output of the BP network was the description of evaluated quality of the fruits. After training, the quality of fruits was identified by the BP network according to the simplified histogram of H of their colored image. Experiments were conducted with satisfied results to show the feasibility and usefulness of the proposed method of fruit quality evaluation.
Keywords :
agricultural products; backpropagation; image colour analysis; BP network; HSI color model; RGB color model; fruit images; fruit quality evaluation; simplified histogram; Artificial neural networks; Color; Digital images; Histograms; Image color analysis; Modeling; Neurons; BP network; HIS color model; evaluation; fruit quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647943
Filename :
5647943
Link To Document :
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