DocumentCode :
3155061
Title :
Research on the intelligent identification method of wallpaper labeling in the interior decoration
Author :
Wang, Yeqin ; Wang, Yuqing
Author_Institution :
Huaiyin Inst. of Technol., Huai´´an, China
fYear :
2011
fDate :
16-18 April 2011
Firstpage :
682
Lastpage :
685
Abstract :
In order to realize the intelligent identification of wallpaper labeling by using computer vision method, an analysis method of wallpaper labeling texture is proposed based on gray level-gradient co-occurrence matrix (GLCM). First, it determines the key parameters of matrix, makes up suitable GLCM, which the feature parameters is extracted; next, it completes the feature selection of the fourteen parameters in order to reduce the computation and improve the describing ability; last, it designs the probabilistic neural network classifier to accomplish classify experiments, whose overall recognition rate can reach 89.6%, which suggests the method is effective and basically feasible.
Keywords :
computer vision; feature extraction; identification; image classification; image texture; neural nets; paper products; GLCM; computer vision method; feature extraction; feature selection; gray level-gradient co-occurrence matrix; intelligent identification method; interior decoration; probabilistic neural network classifier; wallpaper labeling texture analysis; Arrays; Artificial neural networks; Entropy; Feature extraction; Labeling; Pixel; Probabilistic logic; GLCM; feature selection; labeling; probabilistic neural network; wallpaper;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
Type :
conf
DOI :
10.1109/CECNET.2011.5768577
Filename :
5768577
Link To Document :
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