NDLI: A unified CSF-based framework for edge detection and edge visibility

Content Provider	IEEE Xplore Digital Library
Author	Joulan, K. Hautiere, N. Bremond, R.
Copyright Year	2011
Description	Author affiliation: Université Paris Est, IFSTTAR, LEPSiS, 58 Boulevard Lefebvre, 75015, Paris (France) (Joulan, K.)
Abstract	One important trend in edge detection starts from current knowledge about the Human Visual System (HVS) in order to mimic some of its components. We follow this trend and propose a new edge detector which also computes the edge visibility for the HVS. Two important processes in the HVS are taken into account: visual adaptation and contrast sensitivity. Our model is in good agreement with some classical results in human vision, such as Weber's law and Ricco's law, as well as the visibility of sine and square gratings. The main contribution is to propose a unified framework, biologically inspired, which mimics human vision and computes both edge localization and edge visibility. Compared to previous approaches, the visibility of a target is estimated without segmentation of the target. This work may contribute to military applications, Intelligent Transportation Systems, and low vision simulation.
Starting Page	21
Ending Page	26
File Size	854457
Page Count	6
File Format	PDF
ISBN	9781457705298
ISSN	21607516
e-ISBN	9781457705304
DOI	10.1109/CVPRW.2011.5981679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Image edge detection Computational modeling Noise Humans Detectors Gratings
Content Type	Text
Resource Type	Article

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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
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