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