| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 535421 | Pattern Recognition Letters | 2006 | 9 Pages |
Abstract
In this paper we present a region-based retrieval method for satellite images using motif co-occurrence matrix (MCM) in conjunction with spatial relationships. Each image is decomposed into coherent segments, MCM is computed for each region and the spatial relationship among them are evaluated by using a ∗-tree representation. The image is represented by an attributed relational graph (ARG) where nodes contain the visual feature (MCM) and edges represent spatial relationship. Principal component analysis show the usefulness of MCM as a feature.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Adel Hafiane, Subhasis Chaudhuri, Guna Seetharaman, Bertrand Zavidovique,