Title :
A B-snake model using statistical and geometric information-applications to medical images
Author :
Wang, Yue ; Teoh, Earn Khwang ; Shen, Dinggang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
A B-snake model using statistics information for segmenting 2D objects from medical images is presented in this paper. Based on our previous research work, a statistical model is proposed for our B-snake model, in order to use available priori knowledge about the object shape being studied. This method allows the deformation of B-snake to be influenced primarily by the most reliable matches. Experimental results show that our method is robust and accurate in object contour extraction in medical images.
Keywords :
computational geometry; feature extraction; image segmentation; medical image processing; statistical analysis; 2D objects; geometric information application; medical images; object contour extraction; object segmentation; snake model; statistical model; statistics information; Adaptive control; Biomedical engineering; Biomedical imaging; Deformable models; Image analysis; Image segmentation; Radiology; Shape control; Solid modeling; Spline;
Conference_Titel :
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Print_ISBN :
981-04-8364-3
DOI :
10.1109/ICARCV.2002.1238523
