Title :
Structure-adaptive B-snake for segmenting complex objects
Author :
Wang, Yue ; Teoh, Eam Khwang ; Shen, Dinggang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
In this paper, we presented a structure-adaptive B-snake model for segmenting the complex structures in medical images. A strategy of automatic control-point insertion, adaptive to the structure of the studied object, has been proposed. Furthermore, a method of minimum mean square energy (MMSE) is developed to iteratively estimate the position of those control points in the B-snake model. By applying the proposed structure-adaptive B-snake model to medical images, we show that our method is robust and accurate in object contour extraction
Keywords :
adaptive signal processing; edge detection; image segmentation; iterative methods; least mean squares methods; medical image processing; parameter estimation; MMSE; automatic control-point insertion; complex objects; complex structures; medical images; minimum mean square energy; object contour extraction; structure-adaptive B-snake; Adaptive control; Automatic control; Biomedical imaging; Brain; Deformable models; Dynamic programming; Filters; Image segmentation; Shape; Spline;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958607
