IAF-00-B.6.01
OBJECT-BASED REPRESENTATIONS OF SPATIAL IMAGES

Shawn Newsam, Sitaram Bhagavathy, Charles Kenney and B.S. Manjunath
Department of Electrical and Computer Engineering
University of California, Santa Barbara
Leila Fonseca
INPE, Sao Jose dos Campos, Brazil

Abstract

Object based representations of image data enable new content-
related functionalities while facilitating management of large
image databases. Developing such representations for multi-date
and multi-spectral images is one of the objectives of the
second phase of the Alexandria Digital Library (ADL) project
at UCSB. Image segmentation and image registration are two of
the main issues that are to be addressed in creating localized
image representations. We present in this paper some of the
recent and current work by the ADL's image processing group
on robust image segmentation, registration, and the use of
image texture for content representation. Built upon these
technologies are techniques for managing large repositories of
data. A texture thesaurus assists in creating a semantic
classification of image regions. An object-based representation
is proposed to facilitate data storage, retrieval, analysis, and
navigation.