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Proceedings Paper

Image Segmentation Using Prototype Similarity
Author(s): Raj K. Aggarwal
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Paper Abstract

An image segmentation technique using prototype similarity is described here. The prototype similarity is a method for transforming an attribute image into a set of symbols, each of which represents the relationship of a local region to other parts of the image. It consists of two main steps: (1) prototype generation and (2) inference. Generating prototypes is equivalent to finding a maximal set of mutually dissimilar regions using a similarity relation. A similarity relation is a symmetric, reflexive binary relation and not an equivalence relation. It is not bound by metric properties. The generated set of prototypes is used to transform the attribute image into a symbolic image. Some a priori information about the scene is used to infer meaning of each cell in this symbolic image. The segmentation results of this technique on FLIR images are included.

Paper Details

Date Published: 31 August 1978
PDF: 10 pages
Proc. SPIE 0137, Airborne Reconnaissance III, (31 August 1978); doi: 10.1117/12.956203
Show Author Affiliations
Raj K. Aggarwal, Honeywell Inc. (United States)

Published in SPIE Proceedings Vol. 0137:
Airborne Reconnaissance III
John H. Smith; Theodore C. Freitag, Editor(s)

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