Abstract
A new algorithm for content-based image indexing and retrieval is presented in this paper. The proposed method combines wavelet transform and color coherence vector. Wavelet coefficients of image are computed first using wavelet transform such as Daubechies wavelets. A quantization step is then applied before computing coherence vector of the wavelet coefficients. Finally, index vectors are constructed using these wavelet coherence vectors. The retrieval results obtained by the method on a 500 image database show the proposed algorithm achieves a significant improvement in effectiveness and efficiency compared to the indexing and retrieval methods based on histogram or color coherence vector of image.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
