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Modulation Based Combination of High Level Features Generated from SCCF & Contourlet Transforms for CBIR Applications

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Abstract

In this research, for content based image retrieval, an outstanding feature combination based on modulation methods is presented. Including generated improved contourlet transform with spectral correlation coefficient functions features are proposed. These specifications are re-composed as frequency statistic specification, proposing spatial signals dominion. The produced features are Norm-1 values for transformation of two dimensional signals. Since the contourlet transform are more efficient compared to the other transforms, the modified modulation based recombination was used. Finally, modified features was employed for all database images. This paper utilize high pass modulation estimation, for efficient image retrieval high level features. The representations achieved from large-scale database of 10,000 images using the proposed features were applied as textural specification. Recombination of Textural features based on modulated transformation provides robust feature matrix for database image retrieval. This system illustrate higher retrieval percentage up to 90% accuracy in mentioned database. In all classes, proposed method has more than 90% accuracy. The extracted results certify the precision and efficiency of the proposed system. The results were compared with different systems and were discovered to be notable.

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Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

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Authors and Affiliations

  1. Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran

    Shahin Shafei, Hamid Vahdati & Asghar Charmin

  2. Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran

    Tohid Sedghi

Authors
  1. Shahin Shafei
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  2. Hamid Vahdati
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  3. Tohid Sedghi
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  4. Asghar Charmin
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by all authors. The first draft of the manuscript was written by Tohid Sedghi and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Tohid Sedghi.

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Shafei, S., Vahdati, H., Sedghi, T. et al. Modulation Based Combination of High Level Features Generated from SCCF & Contourlet Transforms for CBIR Applications. Wireless Pers Commun 126, 197–208 (2022). https://doi.org/10.1007/s11277-022-09740-9

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  • DOI: https://doi.org/10.1007/s11277-022-09740-9

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