Title :
An Efficient and Reliable Segmentation Method Based on Active Contour Model
Author_Institution :
Sch. of Inf. & Electron. Eng., Shandong Inst. of Bus. & Technol., Yantai
Abstract :
In this paper, we proposed a new active model to segment a given image, based on techniques of graph cut and an energy minimization function. We use the semi-implicit scheme to implement the active model, instead of the classical explicit scheme, which is unconditionally stable and does not suffer from any time step size restriction. Finally, we present the algorithm and experimental results based on the semi-implicit scheme. Experimental results show that one can obtains a high quality edge contour
Keywords :
edge detection; graph theory; image segmentation; active contour model; energy minimization function; graph cut; high quality edge contour; image segmentation method; semi-implicit scheme; Active contours; Computer science; Image edge detection; Image segmentation; Intelligent robots; Level set; Minimization methods; Object detection; Power engineering and energy; Reliability engineering; Graph Cut; active contour; segmentation;
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.282393