Watershed merge tree classification for electron microscopy image segmentation

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Publication Type pre-print
School or College College of Engineering
Department Computing, School of
Creator Seyedhosseini Tarzjani, Seyed Mojtaba
Other Author Liu, Ting; Jurrus, Elizabeth; Ellisman, Mark; Tasdizen, Tolga
Title Watershed merge tree classification for electron microscopy image segmentation
Date 2012-01-01
Description Automated segmentation of electron microscopy (EM) images is a challenging problem. In this paper, we present a novel method that utilizes a hierarchical structure and boundary classification for 2D neuron segmentation. With a membrane detection probability map, a watershed merge tree is built for the representation of hierarchical region merging from the watershed algorithm. A boundary classifier is learned with non-local image features to predict each potential merge in the tree, upon which merge decisions are made with consistency constraints to acquire the final segmentation. Independent of classifiers and decision strategies, our approach proposes a general framework for efficient hierarchical segmentation with statistical learning. We demonstrate that our method leads to a substantial improvement in segmentation accuracy.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 133
Last Page 136
Language eng
Bibliographic Citation Liu, T., Jurrus, E., Seyedhosseini, M., Ellisman, M., & Tasdizen, T. (2012). Watershed merge tree classification for electron microscopy image segmentation. Proceedings - International Conference on Pattern Recognition, 133-6.
Rights Management (c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 1,863,551 bytes
Identifier uspace,18204
ARK ark:/87278/s62z1qbb
Setname ir_uspace
ID 708343
Reference URL https://collections.lib.utah.edu/ark:/87278/s62z1qbb
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