NDLI: Learning from nature: image segmentation based on local symmetry detection

Content Provider	IEEE Xplore Digital Library
Author	van Tonder, G.J. Ejima, Y.
Copyright Year	1999
Description	Author affiliation: Div. of Cognitive Sci., Kyoto Univ., Japan (van Tonder, G.J.)
Abstract	Symmetry has become synonymous with abstract shape representation in human vision. However, recordings from neurons in low-level visual brain areas in monkeys revealed neural sensitivity to medialness. The same neurons also detect edges and oriented lines. We propose a symmetry computation scheme in noisy images, and re-interpret the role of symmetry in vision to understand why it is important at early stages in the hierarchy of the primate visual system. The new symmetries correspond closely to that observed in human subjects. Noise sensitivity can be controlled, overcoming severe restrictions on traditional models. Boundary reconstruction leads to meaningful segmented image regions as illustrated with synthetic images, and are useful in tasks like detecting boundaries in textures. Model performance and problems encountered with natural images are demonstrated. Extension to 3D does not introduce additional complications.
Starting Page	804
Ending Page	809
File Size	774296
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.816654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Humans Neurons Image edge detection Shape Brain Computer vision Noise shaping Visual system Image reconstruction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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