Region-based CBIR in GIS with local space filling curves to spatial representation
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.
motif co-occurrence matrix spatial relationship ?-tree peano scan region-based image retrieval fuzzy c-means clustering