Image retrieval using lifting wavelet filters

Shigeru Takano, Koichi Niijima

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    In this paper, we propose a new content-based image retrieval system based on lifting wavelet filters. Lifting wavelet filters include controllable free parameters. A new similarity measure of images is introduced using the free parameters computed from the high frequency components of images. Using this measure, matching of query image with template images is done. Next, the query image is compared with the subimages lying under the category of template image similar to the query image using their histograms. A clustering method for subimages is also proposed. Finally, simulation results are given.

    Original languageEnglish
    Title of host publicationRecent Advances in Circuits, Systems and Signal Processing
    PublisherWorld Scientific and Engineering Academy and Society
    Pages407-412
    Number of pages6
    ISBN (Print)9608052645
    Publication statusPublished - 2002

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Fingerprint Dive into the research topics of 'Image retrieval using lifting wavelet filters'. Together they form a unique fingerprint.

    Cite this