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