DocumentCode
2086868
Title
A New Weak Edge Detecting Algorithm Based on BMO and Maximum Function
Author
You, Zhong ; Ho, Iok Leong
Author_Institution
Macau Univ. of Sci. & Technol., Macao
fYear
2007
fDate
23-27 May 2007
Firstpage
748
Lastpage
751
Abstract
In this paper, a new algorithm to detect weak edges in medical images based on Bounded Mean Oscillation (BMO) and local maximum function has been presented. BMO functions are used to exact seed regions in an image. Local maximum function is used to grow up regions we are interested in. The algorithm has been tested by ideal geometric graphs and tested on different types of medical images. Testing results show that weak edges have been detected by the new algorithm successfully.
Keywords
edge detection; medical computing; medical image processing; BMO; bounded mean oscillation; geometric graph; maximum function; medical imaging; seed region; weak edge detecting algorithm; Biomedical image processing; Biomedical imaging; Fractals; Image edge detection; Information technology; Mathematics; Medical tests; Pathology; Testing; White noise; BMO; Maximum function; Weak edges detecting;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1077-4
Electronic_ISBN
978-1-4244-1078-1
Type
conf
DOI
10.1109/ICCME.2007.4381838
Filename
4381838
Link To Document