CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12636 > Article
Paper
25 May 2023 Research on human image segmentation method based on deformable convolution
Dawei Yang, Hongli Yao, Liyan Bao
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126362S (2023) https://doi.org/10.1117/12.2675240
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
To address the problems of low segmentation accuracy and inconspicuous image foreground and background segmentation caused by inadequate target feature representation and incomplete model capture information in existing image segmentation tasks, we proposed an image segmentation algorithm based on deformable convolutional networks and self-supervised contrast learning. The existing U-Net segmentation algorithm is insensitive to the image details, and it is difficult to accurately segment the foreground and background in the image. In this paper, an improved algorithm based on U-Net network is proposed. First, deformable convolution network is incorporated into U-Net network instead of traditional convolution, and its adaptive instance target perceptual field is used to improve the ability of this paper's network to characterize foreground regions and reduce the wrong segmentation of background and fully learn the image instance details, so as to improve the segmentation accuracy of the algorithm. On this basis, inspired by self-supervised learning, a self-supervised contrastive learning module is added to learn self-supervised contrastive between instances in an image to enhance the algorithm's understanding of the image. The experimental results show that the algorithm in this paper can effectively improve the segmentation accuracy.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Dawei Yang, Hongli Yao, and Liyan Bao "Research on human image segmentation method based on deformable convolution", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126362S (25 May 2023); https://doi.org/10.1117/12.2675240
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation
Convolution
Deformation
Image processing algorithms and systems
Detection and tracking algorithms
Image enhancement
Education and training
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top