Abstract
In this paper a new method using selective shape priors in a level set framework for image segmentation under occlusion is presented. To solve occluded boundaries, prior knowledge of shape of objects is introduced using the Nitzberg-Mumford-Shiota variational formulation within the segmentation energy. The novelty of our model is that the use of shape prior knowledge is automatically restricted only to occluded parts of the object boundaries. Experiments on synthetic and real image segmentation show the efficiency of our method.
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Fuzhen, H., Xuhong, Y. (2010). Image Segmentation under Occlusion Using Selective Shape Priors. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13772-3_10
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DOI: https://doi.org/10.1007/978-3-642-13772-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13771-6
Online ISBN: 978-3-642-13772-3
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