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Proceedings Paper

Contour-based image representation
Author(s): Akio Yamamoto
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Paper Abstract

This paper describes a contour-based representation of images. More particularly, we discuss a method of representing image data which is a resolution-independent scheme and can provide an interactive viewing capability for every user. In this method, a two dimensional (x,y) image is regarded as a curved surface in a three dimensional space having luminance/chrominance value of an image measured along z-axis. And an image is represented using contour lines which are contours of cross-sectional areas made by slicing a curved surface perpendicularly through z-axis. We also discuss a scheme for reconstructing images based on the proposed contour-based representation. Within the framework of image representation, contour lines are stored in a vector-coded format which is independent of the pixel resolution. Consequently a scalable representation algorithm can be realized, and it is possible to reconstruct image in quality which is in compliance with various kinds of user's requests.

Paper Details

Date Published: 17 January 1997
PDF: 10 pages
Proc. SPIE 2915, Video Techniques and Software for Full-Service Networks, (17 January 1997); doi: 10.1117/12.263398
Show Author Affiliations
Akio Yamamoto, Hewlett-Packard Labs. (Japan)


Published in SPIE Proceedings Vol. 2915:
Video Techniques and Software for Full-Service Networks
Andrew G. Tescher; Tzi-cker Chiueh, Editor(s)

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