Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans
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چکیده
In this work we present a novel technique we term active graph matching, which integrates the popular active shape model into a sparse graph matching problem. In this way we are able to combine the benefits of a global, statistical deformation model with the benefits of a local deformation model in form of a second-order random field. Despite the optimization being NP-hard we present a new iterative, global energy minimization technique which achieves empirically good results. This enables us to exceed state-of-the art results for the task of matching nuclei in 3D microscopic images of C. elegans. Furthermore by adding an additional pre-processing step in the form of the generalized Houghtransform, we are able to jointly segment and annotate a large set of nuclei in a fully automatic fashion for the first time.
منابع مشابه
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans
In this work we present a novel technique we term active graph matching, which integrates the popular active shape model into a sparse graph matching problem. This way we are able to combine the benefits of a global, statistical deformation model with the benefits of a local deformation model in form of a second-order random field. We present a new iterative energy minimization technique which ...
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