External Force for Active Contours: Gradient Vector Convolution

Authors:
Yuanquan Wang;Yunde Jia
Affiliations:
Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin, PRC 300191 and Beijing Laboratory of Intellige ...;Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, PRC 100081
Venue:
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Year:
2008

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Abstract

Active contours, or Snakes, have been widely used in image processing and computer vision and intensively studied over the last two decades. The philosophy of these models involves designing the internal and external forces and the external force drives the contours to locate objects in images. This paper presents a novel external force called gradient vector convolution (GVC) for active contours. The proposed method is motivated by gradient vector flow (GVF) and possesses some advantages of GVF, such as enlarged capture range, initialization insensitivity and high performance on concavity convergence; in addition, it can be implemented in real time owing to its convolution mechanism. Some experiments are presented to demonstrate the effectiveness of the proposed method.