DocumentCode :
3299485
Title :
Clinical Image Processing Algorithm Based on Color-Analysis
Author :
Zhu, Yiwei ; Ge, Qianqian
Author_Institution :
Zhejiang Bus. Technol. Inst., Ningbo, China
fYear :
2009
fDate :
11-12 July 2009
Firstpage :
362
Lastpage :
365
Abstract :
Colors are the main components of image, especially the clinical image resources obtained by CCD. It consists of pixels for basic component units. The analysis and processing of the pixel is one of the most popular ways in graphic processing technologies. This paper indicates a self-adaptive color-analysis edge tracking method based on shape knowledge. It implements automatically locating image edge feature points. The experiment indicates the approach is fast and effective.
Keywords :
biomedical optical imaging; edge detection; image colour analysis; medical image processing; clinical image processing; edge feature points; edge tracking; graphic processing; self adaptive color analysis; shape knowledge; Biomembranes; Charge coupled devices; Computer displays; Endoscopes; Image analysis; Image color analysis; Image processing; Optical distortion; Optical sensors; Pixel; Colors analysis; Edge Tracking; Image Processing; Perforation of Eardrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3729-0
Type :
conf
DOI :
10.1109/SSME.2009.18
Filename :
5233273
Link To Document :
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