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On active contour models and balloons
Affiliation:1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China;2. Institute of Medical Information Computing and Network Information Serving, Northeastern University, Shenyang, Liaoning 110819, China;3. Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, Liaoning 110819, China;4. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, China;1. Computer Science, Department of Universitat Autònoma de Barcelona and Computer, Vision Center, Barcelona, Spain;2. Endoscopy Unit, Gastroenterology Service, CIBERHED, IDIBAPS, Hospital Clinic, Universidad de Barcelona, Barcelona, Spain;1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China;2. South China University of Technology, Guangzhou, China;1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China;3. Key Laboratory of Agri-informatics, Ministry of Agriculture of China, Beijing 100097, China;4. School of Economics & Management, China Agricultural University, Beijing 100083, China
Abstract:The use of energy-minimizing curves, known as “snakes,” to extract features of interest in images has been introduced by Kass, Witkin & Terzopoulos (Int. J. Comput. Vision 1, 1987, 321–331). We present a model of deformation which solves some of the problems encountered with the original method. The external forces that push the curve to the edges are modified to give more stable results. The original snake, when it is not close enough to contours, is not attracted by them and straightens to a line. Our model makes the curve behave like a balloon which is inflated by an additional force. The initial curve need no longer be close to the solution to converge. The curve passes over weak edges and is stopped only if the edge is strong. We give examples of extracting a ventricle in medical images. We have also made a first step toward 3D object reconstruction, by tracking the extracted contour on a series of successive cross sections.
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