Structured representations in a content based image retrieval context
We model images using a region adjacency graph to consider spatial relationships. Features are extracted from segmented regions. Local features capture color, shape ans texture information. Our representation is invariant to scale, rotation and translation. Results reveal a good accuracy in classification on two publicly available databases.
image retrieval content image representation graph-based representation structural pattern recognition graph matching image features bag of words query by example