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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1122