Abstract In the paper, we attempt to develop a novel method to offer the possibility even for a non-expert to extract easily the contour of an object. A NURBS-HMM framework aiming at the interactive image contour extraction is proposed. We fit the initial points input by users with Non-Uniform Rational B-Spline(NURBS). Due to the local controllability of NURBS, the control points are considered as the states of Hidden Markov Model(HMM) framework, and the boundary features and uniformity along the boundary are integrated as the observations. The experimental results show the robustness of our method. As an interactive method, the method interacts with users in an efficient and comfortable way.
Interactive Contour Extraction Using NURBS-HMM
Computer Vision – ACCV 2006 ; 10 ; 858-867
Lecture Notes in Computer Science ; 3851 , 10
2006-01-01
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Hide Markov Model , Segmentation Result , Active Contour , Hide State , Normal Line Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Image Processing and Computer Vision , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
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