DocumentCode :
1976994
Title :
A Graphic Picture Classification Method Based on Gradient Feature
Author :
Sengyan, Tsai ; Zhen, Liu ; Zhihong, Liu
Author_Institution :
Sch. of Packaging & Printing Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
Volume :
6
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
22
Lastpage :
25
Abstract :
Different methods are used to graphics and pictures in image reproduction, image processing, and image compression. Graphic picture classification becomes more and more important. Gradients reflect color varies of an image. The paper proposed a graphic picture classification method based on the gradient feature. The classification is executed in CIELAB color space, after the image is converted from the original color space by ICC profile. Tests show the method is effective and quick.
Keywords :
gradient methods; image classification; image colour analysis; gradient feature; graphic picture classification method; image compression; image processing; image reproduction; Computer science; Graphics; Histograms; Image coding; Image color analysis; Image edge detection; Image processing; Pixel; Statistics; Testing; CIELAB; Classification; Gradient; Graphic; Picture; scanning pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1122
Filename :
4723187
Link To Document :
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