Abstract
This paper illustrates a method for image indexing based on texture information. The texture’s partitioning element is first put into 1-d form and then its Hierarchical Entropy-based Representation (her) is obtained. This representation is used to index the texture in the space of features. The experiments performed show that the proposed method works very well for retrieval in image databases; furthermore, it has invariance and robustness properties that make it attractive for incorporation into larger systems.
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© 2001 Springer-Verlag Berlin Heidelberg
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Distasi, R., Vitulano, S. (2001). Robust Image Retrieval Based on Texture Information. In: Tucci, M. (eds) Multimedia Databases and Image Communication. MDIC 2001. Lecture Notes in Computer Science, vol 2184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44819-5_11
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DOI: https://doi.org/10.1007/3-540-44819-5_11
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