Approach to query-by-texture in image database systems

Aidong Zhang; Biao Cheng; Raj S. Acharya

doi:10.1117/12.227256

21 November 1995 Approach to query-by-texture in image database systems

Aidong Zhang, Biao Cheng, Raj S. Acharya

Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227256
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

This paper presents an approach to texture-based image retrieval which determines image similarity on the basis of the matching of fractal codes. Image fractal codes are generated via a fractal image compression technique that has been recently proposed as an effective image compression method. Each image is represented by a set of self-transformations through which an approximation of the original image can be reconstructed. These self-transformations, which are unique to each image and are semantically rich, are termed fractal codes. An image data model is proposed which constructs each image as a hierarchical structure. Each image is decomposed into block-based segments which are then assembled by a hierarchy on the basis of inclusion relationships. Each segment is then fractally encoded. The fractal codes of an iconic image are used as texture key and are matched with the fractal codes of images in a database by applying searching and matching algorithms to the hierarchies of the database images to locate the segments which best match the fractal codes of the iconic image. Retrievals of both exact and inexact matching of images are supported.

Citation Download Citation

Aidong Zhang, Biao Cheng, and Raj S. Acharya "Approach to query-by-texture in image database systems", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227256

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