CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 13486 > Article
Paper
9 January 2025 A lightweight image segmentation algorithm based on MobileNetv3 and global context block attention mechanism
Songcheng Qian, Jiajun Li, Xiaozhou Yao
Author Affiliations +
Proceedings Volume 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024); 134862L (2025) https://doi.org/10.1117/12.3055715
Event: Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 2024, Chengdu, China
Abstract
Image segmentation is a crucial task in computer vision that involves dividing an image into distinct regions, with each region containing pixels that share similar attributes. Traditional methods like Otsu, Sobel, and Canny often suffer from high computational complexity and sensitivity to parameters. To address these limitations, this paper proposes a lightweight image segmentation algorithm that integrates MobileNetv3-Small with a global context block attention mechanism. MobileNetv3 leverages depthwise separable convolutions and optimized architecture to significantly reduce computational load and parameter count. To further improve segmentation accuracy, a deformable convolutional network is employed during feature extraction, while the global context block attention mechanism enhances focus on target regions. The proposed algorithm not only improves segmentation performance but also offers a lightweight solution suitable for resource-constrained environments.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Songcheng Qian, Jiajun Li, and Xiaozhou Yao "A lightweight image segmentation algorithm based on MobileNetv3 and global context block attention mechanism", Proc. SPIE 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 134862L (9 January 2025); https://doi.org/10.1117/12.3055715
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
 11 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
Image processing algorithms and systems
Feature extraction
Computer vision technology
Convolutional neural networks
Deep learning
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top