A shape prior constraint for implicit active contours

Authors:
Weiping Liu;Yanfeng Shang;Xin Yang;Rudi Deklerck;Jan Cornelis
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China;Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China and Department of ETRO, Vrije Universiteit Brussel, Pleinlaan 2, Brussel 1050, Belgium;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China;Department of ETRO, Vrije Universiteit Brussel, Pleinlaan 2, Brussel 1050, Belgium and Institute of Broad Band Technology, Gaston Crommenlaan 8, 9050 Gent, Belgium;Department of ETRO, Vrije Universiteit Brussel, Pleinlaan 2, Brussel 1050, Belgium
Venue:
Pattern Recognition Letters
Year:
2011

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Abstract

We present a shape prior constraint to guide the evolution of implicit active contours. Our method includes three core techniques. Firstly, a rigid registration is introduced, using a line search method within a level set framework. The method automatically finds the time step for the iterative optimization processes. The order for finding the optimal translation, rotation and scale is derived experimentally. Secondly, a single reconstructed shape is created from a shape distribution of a previously acquired learning set. The reconstructed shape is applied to guide the active contour evolution. Thirdly, our method balances the impact of the shape prior versus the image guidance of the active contour. A mixed stopping condition is defined based on the stationarity of the evolving curve and the shape prior constraint. Our method is completely non-parametric and avoids taking linear combinations of non-linear signed distance functions, which would cause problems because distance functions are not closed under linear operations. Experimental results show that our method is able to extract the desired objects in several circumstances, namely when noise is present in the image, when the objects are in slightly different poses and when parts of the object are invisible in the image.