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Study of distinguishable method for mixed images with similar background

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Abstract

To distinguish a certain object from mixed images with similar background, this paper proposes an image feature texture extraction method for distinguishing mixed images in similar backgrounds. Taking a mixed image of soybean and weed as an example, the method can accurately and quickly distinguish soybean and weed. In this paper, various fuzzy signals are first studied, the uncertainty classification and its impact are analyzed, a method for fuzzy signal processing is proposed. Secondly, this paper uses function packet to extract the texture features of the target, texture decomposition can obtain more detailed and rich target textures. Finally, using feature matching algorithm to determine the similarity between two feature vectors in an image, soybean recognition is completed, thereby removing weeds from the mixture of soybeans and weeds. Compared with the relevant performance of existing extraction methods, the accuracy of the proposed method is achieved more than 95%. It not only has fast processing speed, but also has adaptation to environment. This research has special practical significance and broad practical application prospects, provides important theoretical references and practical significance for fuzzy feature extraction.

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All data generated or analyzed during this study are included in this published article. We do wish to share our raw data, and these data are original.

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Acknowledgements

This work is supported by the Key Science and Technology Program of Henan Province (222102210084);Key Science and Technology Project of Henan Province University (23A413007); Postgraduate Education Reform and Quality Improvement Project of Henan Province (YJS2023JD67), respectively.

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Author notes

  1. Wenjing Wang

    Present address: Faculty of Engineering, Huanghe University of Science and Technology, Zhengzhou, 450000, China

Authors and Affiliations

  1. Faculty of Engineering, Huanghe University of Science and Technology, Zhengzhou, 450000, China

    Yuyu Zhu, Na Xiao & Yangyang Zhang

  2. School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Wenjing Wang

  3. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, 201209, China

    QingE Wu

Authors
  1. Yuyu Zhu
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  2. Wenjing Wang
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  3. QingE Wu
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  4. Na Xiao
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  5. Yangyang Zhang
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Contributions

QW and WW wrote the main manuscript text. YZ prepared Figs. 1, 2, 3, 4, 5, 6. NX prepared Figs. 7, 8, 9, 10, YZ prepared Tables 1, 2, 3. All authors have read and agreed to the published version of the manuscript.

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Correspondence to QingE Wu or Yangyang Zhang.

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Zhu, Y., Wang, W., Wu, Q. et al. Study of distinguishable method for mixed images with similar background. Pattern Anal Applic 27, 65 (2024). https://doi.org/10.1007/s10044-024-01282-z

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