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Bayesian BrainProbabilistic Approaches to Neural Coding$
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Bayesian Brain: Probabilistic Approaches to Neural Coding

Kenji Doya, Shin Ishii, Alexandre Pouget, and Rajesh P.N. Rao

Print publication date: 2006

Print ISBN-13: 9780262042383

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262042383.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 01 March 2021

Efficient Coding of Visual Scenes by Grouping and Segmentation

Efficient Coding of Visual Scenes by Grouping and Segmentation

Chapter:
(p.144) (p.145) 8 Efficient Coding of Visual Scenes by Grouping and Segmentation
Source:
Bayesian Brain
Author(s):

Tai Sing Lee

Alan L. Yuille

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262042383.003.0008

Image segmentation is a process that partitions image into regions which can correspond to 3D surfaces in the visual scene or parts of a 3D surface defined by texture or color. This chapter presents computational theories that perform image segmentation in terms of efficient encoding of regions, and also discusses some neurophysiological experiments which suggest the relevance of the function and mechanism of the primary visual cortex in image segmentation.

Keywords:   image segmentation, visual scene, computational theories, encoding, visual cortex

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