Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210016(2022)

Fine-Grained Image Recognition of Wild Mushroom Based on Multiscale Feature Guide

Zhigang Zhang, Pengfei Yu*, Haiyan Li, and Hongsong Li
Author Affiliations
  • School of Information Science & Engineering, Yunnan University, Kunming 650500, Yunnan , China
  • show less
    References(26)

    [1] Wan R, Liu Z T, Wan Q Q et al. Analysis on wild mushroom poisoning in Yunnan Province from 2011 to 2017[J]. Soft Science of Health, 33, 84-86, 97(2019).

    [2] Li L J, Li G Y, Xie Q T. Research progress on poisonous mushroom toxins classification and recognition[J]. Chinese Journal of Food Hygiene, 25, 383-387(2013).

    [5] Gui M Y, He R, Guo Y H et al. Based on morphological characteristics and ITS classification and identifica-tion of Xinjiang Reed Root mushrooms by sequence[J]. Edible Fungi, 36, 14-16(2014).

    [6] Zeng L K. Recognition and prevention of poisonous mushroom poisoning[J]. Forest by-Product and Speciality in China, 97-98(2008).

    [7] Liu Y, Wang T, Zuo Y M. Study on recognition model for wild mushroom based on support vector machine of near infrared spectral diagnosis[J]. Food & Machinery, 32, 92-94, 112(2016).

    [8] Liu B, Zhang Z D, Zhang T T. Recognition of poisonous mushrooms based on Bayesian classification[J]. Software Guide, 14, 60-62(2015).

    [9] Yan Z F. Application of multi-classifier fusion based on Stacking algorithm in identification of poisonous mushrooms[D](2019).

    [10] Shen R L, Huang Y L, Wen X et al. Mushroom classification based on Xception and ResNet50 models[J]. Journal of Heihe University, 11, 181-184(2020).

    [11] Xiao J W, Zhao C B, Li X J et al. Research on mushroom image classification based on deep learning[J]. Software Engineering, 23, 21-26(2020).

    [12] Chen D G, Yin P B et al. Research on identification of wild mushroom species based on improved Xception transfer learning[J]. Laser & Optoelectronics Progress, 58, 0810023(2021).

    [13] Zhang J, Zhao H D, Li Y H et al. Classifier for recognition of fine-grained vehicle models under complex background[J]. Laser & Optoelectronics Progress, 56, 041501(2019).

    [14] Feng C, Zhao N J, Yin G F et al. Recognition of waterborne pathogens based on spectral similarity analysis[J]. Acta Optica Sinica, 40, 0330002(2020).

    [15] Yuan P S, Shen C J, Xu H L. Fine-grained mushroom phenotype recognition based on transfer learning and bilinear CNN[J]. Transactions of the Chinese Society for Agricultural Machinery, 52, 151-158(2021).

    [21] Li Y X, Yang F, Liu Z et al. Classification method of crossing vehicle based on improved residual network[J]. Laser & Optoelectronics Progress, 58, 0415009(2021).

    [22] Xu Z J, Wang D. Multi-pose face recognition with two-cycle generative adversarial network[J]. Acta Optica Sinica, 40, 1910002(2020).

    [24] Peng J L, Gu Y, Zhang Z et al. Document representation fused with term contribution and Word2Vec word vector[J]. Computer Engineering, 47, 62-67(2021).

    Tools

    Get Citation

    Copy Citation Text

    Zhigang Zhang, Pengfei Yu, Haiyan Li, Hongsong Li. Fine-Grained Image Recognition of Wild Mushroom Based on Multiscale Feature Guide[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210016

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jul. 2, 2021

    Accepted: Aug. 17, 2021

    Published Online: May. 23, 2022

    The Author Email: Pengfei Yu (pfyu@ynu.edu.cn)

    DOI:10.3788/LOP202259.1210016

    Topics