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Image Retrieval Using CBIR Including Light Position Analysis

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Abstract

We propose a method for estimating the weight of the light source position to content-based image retrieval (CBIR) through retrieving image data. The image retrieval method makes use of a multi-dimensional descriptor expressing the features of the image. A multi-directional Gabor filter is then applied in order to extract the contour direction of the image, and a color correlation is applied in order to analyze the distribution of the position between the colors in the image. An HSV histogram and chromatic distribution information were obtained for the color composition analysis, and the light source position in the image was estimated for the main region extraction. The relative similarity between the images was measured through a relative comparison between each descriptor. In conventional image retrieval, there is a disadvantage in terms of the large computational intensity required, because the accuracy is degraded when simple information is used or when the result is estimated through a comparison of complex image components. However, the proposed method adds a light source location analysis element in order to ensure accurate retrieval. Image retrieval using the proposed method achieves an average retrieval accuracy of 85%, indicating that its reliability is superior to that of previously described methods.

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Acknowledgements

This work was supported by the research grant of the Kongju National University in 2017.

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Authors and Affiliations

  1. Graduate School, Kwangwoon University, Seoul, 01897, Korea

    Hyun-Ho Han

  2. Department of Game Design, Kongju National University, Kongju, 32588, Korea

    Seuc-Ho Ryu

  3. Division of Information Communication Engineering, Baekseok University, Cheonan, 31065, Korea

    Gyoo-Soo Chae

  4. Ingenium College of Liberal Arts, Kwangwoon University, Seoul, 01897, Korea

    Sang-Hun Lee

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Correspondence to Seuc-Ho Ryu.

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Han, HH., Ryu, SH., Chae, GS. et al. Image Retrieval Using CBIR Including Light Position Analysis. Wireless Pers Commun 105, 525–543 (2019). https://doi.org/10.1007/s11277-018-5943-7

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