Integrated color, texture and shape information for content-based image retrieval

@article{Choras2007IntegratedCT,
  title={Integrated color, texture and shape information for content-based image retrieval},
  author={Ryszard S. Choras and Tomasz Andrysiak and Michal Choras},
  journal={Pattern Analysis and Applications},
  year={2007},
  volume={10},
  pages={333-343}
}
Feature extraction and the use of the features as query terms are crucial problems in content-based image retrieval (CBIR) systems. The main focus in this paper is on integrated color, texture and shape extraction methods for CBIR. We have developed original CBIR methodology that uses Gabor filtration for determining the number of regions of interest (ROIs), in which fast and effective feature extraction is performed. In the ROIs extracted, texture features based on thresholded Gabor features… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 30 REFERENCES

Proceedings of the IEEE international conference on pattern recognition Fig

C Wolf, JM Jolion, W Kropatsch, points Bischof H Content based image retrieval using interest, In texture features.
  • 12 Average precision versus recall for modified images from a postal database 342 Pattern Anal Applic
  • 2007
VIEW 1 EXCERPT

Combining interest points and edges for content-based image retrieval

  • IEEE International Conference on Image Processing 2005
  • 2005
VIEW 1 EXCERPT

Content based image retrieval using interest points and texture features

C Wolf, JM Jolion, W Kropatsch, H Bischof
  • 2000