NDLI: How to Complete Any Segmentation Process Interactively via Image Foresting Transform

Content Provider	IEEE Xplore Digital Library
Author	Miranda, P.A.V. Falcão, A.X. Ruppert, G.C.S.
Copyright Year	2010
Abstract	The segmentation of poorly defined structures in medical imaging and heterogeneous objects in natural images usually call for considerable user assistance. Consequently, automatic results are often far from desirable and interactive repairs become an essential feature to consider. However, how to import automatic results obtained from external processes and complete their segmentation interactively is an issue, since different tools are based on different optimization criteria. Another simpler related problem concerns how to continue a previous segmentation obtained by the same interactive tool. This ability to stop and later resume interactive segmentation sessions is specially important for tridimensional images and video. However, very often crucial data (e.g., the history of user input) are no longer available; or are no longer reliable, as consequence of some post-processing. How to offer a comprehensive recovery and resume capability, comprising all these different scenarios, under the framework of the "Image Foresting Transform" (IFT) is the central focus of this paper.
Starting Page	309
Ending Page	316
File Size	348787
Page Count	8
File Format	PDF
ISBN	9781424484201
DOI	10.1109/SIBGRAPI.2010.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-30
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Image segmentation Transforms Biomedical imaging History Optimization Robustness graph search algorithms image foresting transform robustness in image segmentation
Content Type	Text
Resource Type	Article

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