Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

Many image segmentation algorithms first generate an affinity graph and then partition it. We present a machine learning approach to computing an affinity graph using a convolutional network (CN) trained using ground truth provided by human experts. The CN affinity graph can be paired with any stand...

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Bibliographic Details
Main Authors: Turaga, Srinivas C., Murray, Joseph F., Jain, Viren, Roth, Fabian, Helmstaedter, Moritz N., Briggman, Kevin L., Denk, Winfried, Seung, H. Sebastian
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: MIT Press 2011
Online Access:http://hdl.handle.net/1721.1/60924

Internet

http://hdl.handle.net/1721.1/60924

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