Presentation 2012-09-27
A Hierarchical Description of Grayscale Images based on Image Dipoles
Kenji HONDA, Makoto SATO,
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Abstract(in English) This paper deals with a hierarchical description of digital grayscale images based on non-local structural features, named image dipoles. An image dipole is defined to be a region whose lines of slope emanate from the same maximum, and reach the same minimum. Incorporating an image dipole based on representation of an image into a scale- space filtering, we propose in this paper a hierarchical image dipole description of the image. The proposed description consists of image dipole networks of same scales, and linking of image dipoles across the scales. It will be shown that the description is constructed to contain all local transformation of image dipole network in the scale-space. that is, any image dipole of the network is at most once morphologically transformed from one scale to another adjacent scale in the description. As an application to computer vision, we demonstrate experiments on the image segmentation to show the usefulness of the description.
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Keyword(in English) Scale-Space Filtering / Hierarchical Description / Image Segmentation
Paper # MVE2012-36
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Committee MVE
Conference Date 2012/9/20(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Hierarchical Description of Grayscale Images based on Image Dipoles
Sub Title (in English)
Keyword(1) Scale-Space Filtering
Keyword(2) Hierarchical Description
Keyword(3) Image Segmentation
1st Author's Name Kenji HONDA
1st Author's Affiliation Faculty of Marine Technology Tokyo University of Marine Science and Technology()
2nd Author's Name Makoto SATO
2nd Author's Affiliation Precision and Intelligence Laboratory Tokyo Institute of Technology
Date 2012-09-27
Paper # MVE2012-36
Volume (vol) vol.112
Number (no) 221
Page pp.pp.-
#Pages 6
Date of Issue