Please use this identifier to cite or link to this item:
|Title:||A variational model for segmentation of overlapping objects with additive intensity value|
level set methods
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 22, 2018
WEB OF SCIENCETM
checked on Jan 29, 2018
checked on Feb 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.