University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Multi-Region Image Segmentation using Generalized Averages and One Level Set Function

Multi-Region Image Segmentation using Generalized Averages and One Level Set Function

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VMV - Variational methods and effective algorithms for imaging and vision

I will briefly introduce the notions of generalized averages, their particular cases, analysis and level set representation. We apply these generalized averages to construct a general image data term. The properties of the general data term will also be discussed for multi-region image segmentation.  Few test results will be exhibited. Moreover, performance in selective segmentation will also be displayed. This is a joint work with Noor Badshah, Ke Chen, Gulzar Ali Khan and Nosheen.



This talk is part of the Isaac Newton Institute Seminar Series series.

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