Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
Abstract:
摘要： This paper presents a new multiphase active contour model for object segmentation and tracking. The paper introduces an energy functional which incorporates image feature information to drive contours toward desired boundaries, and shape priors to constrain the evolution of the contours with respect to reference shapes. The shape priors, in the model, are constructed by performing the incremental principal component analysis (iPCA) on a set of training shapes and newly available shapes which are the resulted shapes derived from preceding segmented images. By performing iPCA, the shape priors are updated without repeatedly performing PCA on the entire training set including the existing shapes and the newly available shapes. In addition, by incrementally updating the resulted shape information of consecutive frames, the approach allows to encode shape priors even when the database of training shapes is not available. Moreover, in shape alignment steps, we exploit the shape normalization procedure, which takes into account the affine transformation, to directly calculate pose transformations instead of solving a set of coupled partial differential equations as in gradient descent-based approaches. Besides, we represent the level set functions as linear combinations of continuous basic functions expressed on B-spline basics for a fast convergence to the segmentation solution. The model is applied to simultaneously segment/track both the endocardium and epicardium of left ventricle from cardiac magnetic resonance (MR) images. Experimental results show the desired performances of the proposed model. 其他題名： Machine Vision and Applications 出版者： Berlin/Heidelberg: Springer Berlin Heidelberg 出版日期： 2014-11-01 出處： Machine vision and applications, 2014-11, Vol.25 (8), p.1967-1987 資源來源： SpringerLink Journals 版權： Springer-Verlag Berlin Heidelberg 2014 版權： 2015 INIST-CNRS 版權： Machine Vision and Applications is a copyright of Springer, (2014). All Rights Reserved. 識別號： ISSN: 0932-8092 識別號： EISSN: 1432-1769 識別號： DOI: 10.1007/s00138-014-0626-1 識別號： CODEN: MVAPEO
