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
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;
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
DOI :
10.1109/ICCME.2007.4381838
