Title :
An improved adaptive B-spline active contour model
Author :
Tang, Haiying ; Zhuang, Tiange
Author_Institution :
Dept. of Biomed. Eng., Shanghai Jiaotong Univ., China
fDate :
29 Oct-1 Nov 1998
Abstract :
This paper presents an adaptive B-spline active contour algorithm based on the active contour model, which makes the active contour approach the real image edge as close as possible. Combining the principles of the optimal edge detection filter, our active B-spline contour model improves the energy function, which speeds up the search procedure of the edge in an image and widens the automatic search scope
Keywords :
adaptive filters; edge detection; feature extraction; filtering theory; image segmentation; recursive filters; splines (mathematics); active contour algorithm; adaptive B-spline active contour model; automatic search scope; edge search procedure; energy function; image segmentation; optimal edge detection filter; real image edge; Active contours; Biomedical imaging; Equations; Filters; Force control; Gaussian processes; Image converters; Image edge detection; Image segmentation; Spline;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745615
