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The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021)

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Jian Yao

    1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

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  2. Yang Xiao

    1. Department of Computer Science, University of Alabama, Tuscaloosa, USA

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  3. Peng You

    1. National University of Defense Technology, Changsha, China

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  4. Guang Sun

    1. Big Data Institute, Hunan University of Finance and Economics, Changsha, China

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  • Compiles papers accepted by the ICIVIS 2021 held on June 15–17, 2021, in Changsha, China
  • Presents original research results, innovative ideas, and the current hot issues
  • Covers topics including Image Processing and Intelligent Control

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 813)

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Table of contents (106 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Image and Version

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Research on Multi-label of Gastritis Pathological Images Based on Weakly Supervised Deep Learning

      • Haoyang Cui, Xie Ding, Jingyi Zhang, Dan Huang, Yi Wang, Qinghua You et al.
      Pages 3-19

    3. A Survey of Object Tracking Methods Based on Deep Learning

      • Yang Yi, Zijian Meng, Guixiong Tian
      Pages 21-32

    4. Hyperspectral Image Classification Based on Stacked Extreme Learning Machine

      • Qiongying Fu, Jinchun Qin, Li Li
      Pages 33-43

    5. Nasopharyngeal Organ Segmentation Algorithm Based on Dilated Convolution Feature Pyramid

      • Xiaoying Pan, Dong Dai, Hongyu Wang, Xingxing Liu, Weidong Bai
      Pages 45-58

    6. A Survey of FPGA-Based Deep Learning Acceleration Research

      • Ziyi Lv, Jing Zhang
      Pages 59-65

    7. A Survey of Track Prediction Method of AUV Based on Deep Learning

      • Yuna Yu, Jing Zhang, Tianchi Zhang
      Pages 67-75

    8. Recognition of Farmers’ Working Based on HC-LSTM Model

      • Wenxin Zhao, Jinpo Xu, Xiang Li, Zhaoqi Chen, Xin Chen
      Pages 77-86

    9. Recognition of Corn Diseases and Insect Pests Based on Residual Network and Transfer Learning

      • Chun Liao, Jiahao Wang, Qilin Xiong, Wanlin Gao
      Pages 87-95

    10. A Lightweight Image Super-Resolution Network Based on ESRGAN for Rapid Tomato Leaf Disease Classification

      • Lei Zha, Yangjing Shi, Juan Wen
      Pages 97-110

    11. Fuzzy Image Processing Based on Deep Learning: A Survey

      • Shoucun Chen, Jing Zhang, Tianchi Zhang
      Pages 111-120

    12. Semi-supervised Generative Adversarial Network for Face Anti-spoofing

      • Junting Chen, Jiwen Dong, Qingtao Hou, Shenyuan Li, Xizhan Gao, Sijie Niu
      Pages 121-130

    13. Improving Apple Detection Using RetinaNet

      • Zhen Ma, Nianqiang Li
      Pages 131-141

    14. Megavoltage Computed Tomography (MVCT) Imaging Quality Improvement via Convolutional Neural Network

      • Zengjing Zhao, Jiwen Dong, Sijie Niu, Yan Zhang, Jian Zhu
      Pages 143-150

    15. Research and Application of Railway Turnout Gap Detection Based on Improved Canny Algorithm

      • Xinpeng Liu, Runyuan Sun, Zhifeng Liang
      Pages 151-161

    16. 3D Vision Transformer for Postoperative Recurrence Risk Prediction of Liver Cancer

      • Fan Li, Xueying Zhou, Xizhan Gao, Hui Zhao, Sijie Niu
      Pages 163-172

    17. Attention-Aware U-Net Network for Segmentation of Retinopathy Region

      • Wenyang Kong, Fan Li, Ruiwen Xing, Xizhan Gao, Hui Zhao, Jie Su et al.
      Pages 173-182

    18. LESN: Low-Light Image Enhancement via Siamese Network

      • Xixi Nie, Zilong Song, Bing Zhou, Yating Wei
      Pages 183-194

    19. A Lightweight-Improved CNN Based on VGG16 for Identification and Classification of Rice Diseases and Pests

      • Kaibo Liang, Yuzhi Wang, Li Sun, Dongpeng Xin, ZiWei Chang
      Pages 195-207
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Keywords

About this book

This book is a collection of the papers accepted by the ICIVIS 2021—The International Conference on Image, Vision and Intelligent Systems held on June 15–17, 2021, in Changsha, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.

Editors and Affiliations

  • School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

    Jian Yao

  • Department of Computer Science, University of Alabama, Tuscaloosa, USA

    Yang Xiao

  • National University of Defense Technology, Changsha, China

    Peng You

  • Big Data Institute, Hunan University of Finance and Economics, Changsha, China

    Guang Sun

Bibliographic Information

  • Book Title: The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021)

  • Editors: Jian Yao, Yang Xiao, Peng You, Guang Sun

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-16-6963-7

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-6962-0Published: 04 March 2022

  • Softcover ISBN: 978-981-16-6964-4Published: 05 March 2023

  • eBook ISBN: 978-981-16-6963-7Published: 03 March 2022

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XIX, 1216

  • Number of Illustrations: 91 b/w illustrations, 444 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning

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