Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIP.2010.2095868
Title: A variational model for segmentation of overlapping objects with additive intensity value
Authors: Law, Y.N.
Lee, H.K.
Liu, C. 
Yip, A.M. 
Keywords: Additive intensity
Euler's elastica
image segmentation
level set methods
MumfordShah model
overlapping objects
Issue Date: Jun-2011
Source: Law, Y.N., Lee, H.K., Liu, C., Yip, A.M. (2011-06). A variational model for segmentation of overlapping objects with additive intensity value. IEEE Transactions on Image Processing 20 (6) : 1495-1503. ScholarBank@NUS Repository. https://doi.org/10.1109/TIP.2010.2095868
Abstract: We propose a variant of the MumfordShah model for the segmentation of a pair of overlapping objects with additive intensity value. Unlike standard segmentation models, it does not only determine distinct objects in the image, but also recover the possibly multiple membership of the pixels. To accomplish this, some a priori knowledge about the smoothness of the object boundary is integrated into the model. Additivity is imposed through a soft constraint which allows the user to control the degree of additivity and is more robust than the hard constraint. We also show analytically that the additivity parameter can be chosen to achieve some stability conditions. To solve the optimization problem involving geometric quantities efficiently, we apply a multiphase level set method. Segmentation results on synthetic and real images validate the good performance of our model, and demonstrate the model's applicability to images with multiple channels and multiple objects. © 2010 IEEE.
Source Title: IEEE Transactions on Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/102784
ISSN: 10577149
DOI: 10.1109/TIP.2010.2095868
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