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Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Peng You

    1. National University of Defense Technology, Changsha, China

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  2. Shuaiqi Liu

    1. Hebei University, Baoding, China

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  3. Jun Wang

    1. Hebei University, Baoding, China

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  • Compiles papers accepted by the ICIVIS 2023 held on August 16–18, 2023, in Baoding, 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 1163)

Included in the following conference series:

Conference proceedings info: ICIVIS 2023.

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Table of contents (72 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Image

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. High Order Conditional Random Field Based Cervical Cancer Histopathological Image Classification

      • Shangqi Zhou, Xintong Li, Yanyu Fu, Xinyu Ouyang, Jinzhu Yang, Marcin Grzegorzek et al.
      Pages 3-16

    3. Skin Cancer Image Identification Using Deep Convolutional Neural Networks

      • Wenbo Zhang, Xiaolin Sun, Shiyi Ma, Jinzhu Yang, Marcin Grzegorzek, Yuexi Wang et al.
      Pages 17-27

    4. Deep Learning-Based Prediction of Myelosuppression in Lymphoma Patients During Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue

      • Tianming Du, Hongzan Sun, Jinzhu Yang, Marcin Grzegorzek, Chen Li
      Pages 28-36

    5. Retrievable Image Encryption Based on Adaptive Block Compressed Sensing

      • Jiuchuan Fang, Hui Zhao, Mingwen Zheng, Zijian Wang, Sijie Niu, Xizhan Gao
      Pages 37-51

    6. Research on Prostate Cancer Pathological Image Classification Method Based on Vision Transformer

      • Zhixian Tang, Xinrong Yang, Yuhe Wei, Ling Wei, Wanran Zhang, Xue Wang
      Pages 52-60

    7. Multi-disease Detection and Segmentation of Chest CT Images Based on Coarse-to-Fine Pipeline Models

      • Zhixian Tang, Jinyang Zhang, Jialing Wang, Jiajun Li, Xufeng Yao
      Pages 61-70

    8. Dual Branch Image-Guided Network with Multi-stage Iterative Refinement for Depth Completion

      • Peng Liu, Zonghua Zhang, Zhaozong Meng, Nan Gao
      Pages 71-80

    9. CT Images Super-Resolution Reconstruction Using Bi-level Routing Attention and Consecutive Dilated Convolutions

      • Menglei Gao, Peng Wu
      Pages 81-90

    10. ASPCD-UNet: An Improved Network for Change Detection

      • Kangyi Wang, Tianhao Han, Jiwen Dong, Hanghang Fu, Sijie Niu
      Pages 91-99

    11. SE-UNet: Channel Attention Based UNet for Water Body Segmentation from SAR Image

      • Wenshuo Li, Yan Dong, Yulin Wang, Tao Xu, Zhen Liu, Kunfeng Yu et al.
      Pages 100-107

    12. A Fine Segmentation Method for the Outer Boundary of Tire Image Steel Belt Based on Adaptive Thresholding Under Local Histogram Statistical Features

      • Hua Liu, Nan Li, Jinyi Hao, Yingjie Xia, Jinping Li
      Pages 108-118

    13. Night Scene Image Stitching and Image Recognition Based on Improved SIFT

      • Zhen Zhou, Yanlin Xie
      Pages 119-128

    14. Optical Image Encryption Based on Chaotic Palmprint Phase Mask and Phase-Shifting Digital Holography

      • Haoran Zhang, Qinyu Zhao, Fei Li, Weirong Wang, Yonggang Su
      Pages 129-136

    15. Health Monitoring of Ultra-low Temperature Valves Based on Complex Shearlet Domain Dynamic Threshold

      • Haoran Liu, Ying Zhang, Ling Zhao
      Pages 137-144

    16. Speckle Suppression Based on Contextual ConvNeXt Network

      • Zhenghao Hua, Yupeng Ma, Yu Huang, Shuaiqi Liu, Shuai Cong
      Pages 145-153

    17. Mirror R-CNN: Object Detection with Flipped Image

      • Jun Wang, Shining Kang, Jingjing Wang, Xin Zhang, Zhiyuan Ma
      Pages 154-166

    18. Research on Virtual Data Set Generation for Ship Target Recognition at Sea

      • Xiao Liang, Helong Shen, Qianfeng Jing
      Pages 167-175

    19. Design and Research of One-Piece Bionic Life Jacket Based on Virtual Reality Technology

      • Yingying Ge, Heshuang Zhuang
      Pages 176-183
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  1. Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)

Keywords

About this book

This book constitutes the refereed proceedings of ICIVIS2023, held in Baoding, China, in August 2023. The papers included in the proceedings have been carefully reviewed and selected from the submitted manuscripts in the areas of image, vision and intelligent systems.
 
This book provides a reference for theoretical innovative problems as well as recent practical solutions and applications for the state-of-the-art results in image, vision and intelligent systems. The intended audience of the book includes researchers, professors, experts, practitioners and professionals in the field of image, vision and intelligent systems worldwide.

Editors and Affiliations

  • National University of Defense Technology, Changsha, China

    Peng You

  • Hebei University, Baoding, China

    Shuaiqi Liu, Jun Wang

Bibliographic Information

  • Book Title: Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)

  • Editors: Peng You, Shuaiqi Liu, Jun Wang

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-97-0855-0

  • 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. 2024

  • Hardcover ISBN: 978-981-97-0854-3Published: 25 February 2024

  • Softcover ISBN: 978-981-97-0857-4Due: 15 April 2024

  • eBook ISBN: 978-981-97-0855-0Published: 24 February 2024

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XV, 770

  • Number of Illustrations: 74 b/w illustrations, 308 illustrations in colour

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

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