An Implementation of Hybrid Approach to Indexing Image Databases
Image database processing depends on the efficiency with which the images are stored and how the image query utilizes the stored images. In the past, several techniques have been used for indexing images. Some of them are holistic Wavelet based which lack invariance with respect to time transformations such as rotation, scaling, translation and reflection. Others use a combination of image segmentation, Fourier Transform and histogramming. We present a new Hybrid technique, which uses the compression power of Wavelet Transform and the rotation, scaling, translation & reflection(RSTN) invariance of Fourier Transform Spectrum. This Hybrid technique is faster than the holistic Fast Fourier Transform and more robust than the holistic Wavelet transform in the construction of image signatures. The experimental results on +he prediction accuracy and computation time performance of the signature algorithm are presented. This indexing technique is useful for reliable intensity-based image query resolution.
C. Sabharwal, "An Implementation of Hybrid Approach to Indexing Image Databases," Proceedings of the 1999 ACM Symposium on Applied Computing, Association for Computing Machinery (ACM), Jan 1999.
The definitive version is available at https://doi.org/10.1145/298151.298411
Keywords and Phrases
Compression; Discrete Fourier Transform; Image Query; Indexing Algorithm; Wavelet Transform
Article - Conference proceedings
© 1999 Association for Computing Machinery (ACM), All rights reserved.
01 Jan 1999