Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image
REN Hui SU Zhibin GAO Nan LÜ Chaohui
(Information Engineering School, Communication University of China, Beijing 100024, China)
(Key Laboratory of Acoustic Visual Technology and Intelligent Control System, Ministry of Culture, Beijing 100024, China)
(Beijing Key Laboratory of Modern Entertainment Technology, Beijing 100024, China)
Abstract：To get the closed boundary of target object of given stereoscopic image, this paper proposes an improved algorithm with disparity-guided constraint for active contour extraction based on greedy snake model. The disparity relationship between the control points and the center of the object is used to design a new external force, which guides the original contour to real boundary. In addition, this method also uses the improved model iteratively with processed control points as the original input. Experiment results prove this method reduces the reliance on initial values of input contour, obtains accurate contour made up of uniform and dense points, which is more effective than the traditional greedy snake algorithm.
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