JOURNAL ARTICLE

<title>Object-based interpolation via cores</title>

Derek T. PuffDavid H. EberlyStephen M. Pizer

Year: 1994 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2167 Pages: 143-150   Publisher: SPIE

Abstract

We propose an object-based interpolation that utilizes the core, a multiscale representation of object shape, as the basis for determining an interpolated object's position and intensities. The core calculations are made directly from image intensities, with no intermediate location of object boundaries. The core of the interpolated object is first determined by an interpolation of the cores of the corresponding objects. The intensity at each of the positions in the object specified by the interpolated core is then determined by interpolating intensities from the equivalent positions in the corresponding objects; positions with equivalent distances along and from the core are chosen via the algorithm described in the paper. This object-based geography has produced promising results for simple, single-core interobject interpolations, and research continues in determining an interpolation method for multifigure objects as well as the background positions in realistic medical images.

Keywords:
Interpolation (computer graphics) Object (grammar) Position (finance) Representation (politics) Core (optical fiber) Computer science Computer vision Artificial intelligence Mathematics Algorithm Image (mathematics)

Metrics

18
Cited By
1.56
FWCI (Field Weighted Citation Impact)
6
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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