Automatic Image Classification by a Granular Computing Approach

@article{Rizzi2006AutomaticIC,
  title={Automatic Image Classification by a Granular Computing Approach},
  author={Antonello Rizzi and Guido Del Vescovo},
  journal={2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing},
  year={2006},
  pages={33-38}
}
In this paper we propose an image classification system able to solve automatically a large set of problem instances by a granular computing approach. By means of a watershed segmentation algorithm, each image is decomposed into a set of segments (information granules), characterized by suited color, texture and shape features (segment signature). Successively, images are represented by a symbolic graph, where each node stores the segment signature and edges retain the information about the… CONTINUE READING
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