DocumentCode :
3028428
Title :
An auto way to categorize image
Author :
Hong, Kun ; Hu, Jingrong
Author_Institution :
Publicity Dept. of Sci. & Technol., Inst. of Sci. & Technol. of Kunming, Kunming, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
5281
Lastpage :
5284
Abstract :
Auto categorizing is very important in computer image recognition technology. Texture is one of the keys to resolve it. Similar to human´s rational intelligence is one of way to approach auto category. In this paper, we describe the common texture by analysis and term in categories theory. It means categories are useful for textures and image recognition. The combination of categories and neural network is worth to research which will gradually reveal the unity way of human´s percept and rationality.
Keywords :
image recognition; image texture; neural nets; autocategorizing; computer image textures recognition technology; human percept; human rational intelligence; human rationality; neural network; Computers; Floors; Humans; Image color analysis; Image recognition; Joining processes; Paints; Categorize image; auto recognition; pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6001970
Filename :
6001970
Link To Document :
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