Contour-based image representation

Akio Yamamoto

doi:10.1117/12.263398

17 January 1997 Contour-based image representation

Akio Yamamoto

Proceedings Volume 2915, Video Techniques and Software for Full-Service Networks; (1997) https://doi.org/10.1117/12.263398
Event: Photonics East '96, 1996, Boston, MA, United States

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.

Citation Download Citation

Akio Yamamoto "Contour-based image representation", Proc. SPIE 2915, Video Techniques and Software for Full-Service Networks, (17 January 1997); https://doi.org/10.1117/12.263398

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