Nonparametric Joint Shape and Feature Priors for Image Segmentation

Abstract

In many image segmentation problems involving limited and low-quality data, employing statistical prior information about the shapes of the objects to be segmented can significantly improve the segmentation result. However, defining probability densities in the space of shapes is an open and challenging problem, especially if the object to be segmented… (More)
DOI: 10.1109/TIP.2017.2728185

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