Title :
A Fast and Reliable Segmentation Method Based on Active Contour Model and Edgeflow
Author :
Yuan, Da ; He, Yongqiang
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan
Abstract :
In this paper, we proposed a new method to segment a given image, based on curve evolution and edgeflow techniques. The approach automatically detect boundaries, and change of topology in terms of the edgeflow fields. We present the numerical implementation and the experimental results based on the semi-implicit method. Experimental results show that one can obtains a high quality edge contour
Keywords :
curve fitting; edge detection; image segmentation; active contour model; curve evolution; edgeflow technique; image segmentation; semiimplicit method; Active contours; Application software; Circuit topology; Computer science; Computer vision; Image edge detection; Image segmentation; Level set; Object detection; Reliability engineering; Curve Evolution; Edgeflow; PDE.;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.253854
