Robust histogram-based image retrieval

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Höschl IV, Cyril, and Jan Flusser. “Robust Histogram-Based Image Retrieval”. Pattern Recognition Letters, vol. 69, 2016, pp. 72-81, https://doi.org/10.1016/j.patrec.2015.10.012.
Höschl IV, C., & Flusser, J. (2016). Robust histogram-based image retrieval. Pattern Recognition Letters, 69, 72-81. https://doi.org/10.1016/j.patrec.2015.10.012
Höschl IV C, Flusser J. Robust histogram-based image retrieval. Pattern Recognition Letters. 2016;69:72-81.
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Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 7 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Real-time ensemble based face recognition system for NAO humanoids using local binary pattern and was published in 2017. The most recent citation comes from a 2023 study titled Target Search for Joint Local and High-Level Semantic Information Based on Image Preprocessing Enhancement in Indoor Low-Light Environments. This article reached its peak citation in 2020, with 5 citations. It has been cited in 13 different journals, 15% of which are open access. Among related journals, the Multidimensional Systems and Signal Processing cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year