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SPCC: A superpixel and color clustering based camouflage assessment

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Abstract

In the military field, camouflage assessment has significant study implications. In this research, a region segmentation algorithm based on superpixels and color clustering is proposed to address the shortcomings of the current methods, which solely focus on the human eye perception mechanism. This algorithm incorporates the attention process of human eyes and cognition. Compared to the rectangular regions used by the bulk of existing algorithms, the segmented regions with uneven borders have more visual meanings. The low-level perception feature set used in this study is also used to develop a novel camouflage assessment metric that takes into account both the irregularity of the attention perception region and the human eye’s feature focus. Due to the difficulty in obtaining the camouflage dataset, this research creates the Green Tank dataset and the Green Car dataset using different targets and similar backgrounds. We ran tests on these two datasets and compared it with 16 other well-known algorithms to verify the efficacy of the strategy suggested in this study. The experimental findings demonstrate that the approach suggested in this research has produced the best outcome.

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Author information

Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Ning Li, Wangjing Qi, Jichao Jiao, Ang Li & Liqun Li

  2. The 22nd Research Institute of China Electronics Technology Group Corporation, Qingdao, 266041, China

    Wei Xu

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  1. Ning Li
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  2. Wangjing Qi
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  3. Jichao Jiao
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  4. Ang Li
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  5. Liqun Li
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  6. Wei Xu
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Contributions

Ning Li guide the direction of this study, provide the experimental environment; Wangjing Qi proposed the conceptualization and method of this study, and implemented the algorithm; Jichao Jiao guide the algorithm of this study; Ang Li drafted the paper and made important revisions to the paper; Liqun Li optimize the algorithm; Wei Xu collect and label the data for study.

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Correspondence to Wangjing Qi.

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Li, N., Qi, W., Jiao, J. et al. SPCC: A superpixel and color clustering based camouflage assessment. Multimed Tools Appl 83, 26255–26279 (2024). https://doi.org/10.1007/s11042-023-16425-3

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