Fast Mumford-Shah Segmentation using Image Scale Space BasesReportar como inadecuado


Fast Mumford-Shah Segmentation using Image Scale Space Bases


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Image segmentation using the piecewise smooth variational model proposed by Mumford and Shah is both robust and computationallyexpensive. Fortunately, both the intermediate segmentations computed in the process of the evolution, and thefinal segmentation itself have a common structure. They typically resemble a linear combination of blurred versions of theoriginal image. In this paper, we present methods for fast approximations to Mumford-Shah segmentation using reducedimage bases. We show that the majority of the robustness of Mumford-Shah segmentation can be obtained without allowingeach pixel to vary independently in the implementation. We illustrate segmentations of real images that show how theproposed segmentation method is both computationally inexpensive, and has comparable performance to Mumford-Shahsegmentations where each pixel is allowed to vary freely.



Laboratory of Computational Computer Vision Publications -



Autor: Alvino, Christopher V. - Yezzi, Anthony - -

Fuente: https://smartech.gatech.edu/







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