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Effective CBIR based on hybrid image features and multilevel approach

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Abstract

Content based image retrieval (CBIR) process can retrieve images by matching its feature set values. The proposed novel CBIR methodology called Effective CBIR based on hybrid image features and multilevel approach (CBIR_LTP_GLCM) integrates the hybrid features such as color features and texture features, along with multilevel approach. The color features such as mean and standard deviation are adopted in the proposed method to represent the global color properties of an image. This method manipulates the color input-image by processing the Hue, Saturation and Value channels of the HSV color space. This novel work is enriched with the image feature derived from Local Ternary Pattern (LTP) in addition with GLCM. So, the proposed method CBIR_LTP_GLCM is potentially charged with meaningful modifications travelling with color image manipulation and extended image retrieval accuracy with the aid of multilevel approach. The proposed methodology is experimentally compared with the existing recent CBIR versions by using the standard database such as Corel-1 k, and a user contributed database named DB_VEG.

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Authors and Affiliations

  1. Department of PG Computer Science, Nesamony Memorial Christian College, Marthandam, India

    D. Latha

  2. Department of Computer Applications, Nesamony Memorial Christian College, Marthandam, India

    A. Geetha

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  1. D. Latha
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  2. A. Geetha
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Correspondence to D. Latha.

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Latha, D., Geetha, A. Effective CBIR based on hybrid image features and multilevel approach. Multimed Tools Appl 81, 28559–28582 (2022). https://doi.org/10.1007/s11042-022-12588-7

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  • DOI: https://doi.org/10.1007/s11042-022-12588-7

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