Title :
Gastritis cold or heat image research based on LBP
Author :
Xu, Zhongyu ; Guo, Hongcheng ; Chen, Wei
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
Gastritis is collective name for all gastric mucosa inflammation, division to acute gastritis and chronic gastritis. Gastritis cold and Gastritis heat which indicates that the different adjustment statuses are caused by different external environment are defined by Chinese Medicine. Gastroscopy is main foundation to diagnose, it is signification that auto assort endoscope images use computer to assist in diagnose. However, the general analysis can not achieve the ideal result, which is not only caused by some factors such as food, light and the movement of camera, but also the problems of the brightness and color changing greater in the electronic endoscopy image and the imaging angle changing. Apply local binary pattern to compute different color channel of endoscope images, extraction characters input Support Vector Machine for recognize, finally reference domain knowledge and according different proportion to combine results. Effect is favorable shown by experiment.
Keywords :
endoscopes; image colour analysis; image recognition; image texture; medical image processing; Chinese medicine; chronic gastritis; electronic endoscopy image; gastric mucosa inflammation; gastritis cold; gastritis heat; gastroscopy; heat image research; local binary pattern; support vector machine; texture recognition; Computational modeling; endoscopic image; gastritis cold or heat syndrome; local binary pattern; texture recognition;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609982