A new circular minimal path model for interactive image segmentation

Li Liu; Weijie Zhang; Da Chen; Minglei Shu

doi:10.1117/12.3020926

25 March 2024 A new circular minimal path model for interactive image segmentation

Li Liu, Weijie Zhang, Da Chen, Minglei Shu

Proceedings Volume 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023); 130890E (2024) https://doi.org/10.1117/12.3020926
Event: Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 2023, Suzhou, China

Abstract

Minimal paths are widely used in the image segmentation problems. Most existing methods only exploit local point-wise image features to track minimal paths for delineating the boundaries, increasing the risk of shortcuts especially in the case of complicated scenario. In this work, we introduce a new circular minimal path model invoking a graph-based boundary proposals grouping scheme and an adaptive cut for interactive image segmentation. The boundary proposals are comprised of edge segments, incorporating the nonlocal connectivity information into the proposed model. The target contours are made up of boundary proposals and minimal paths selected by a graph-based optimization way. The adaptive cut can disconnect the image domain such that the target contours are imposed to pass through this cut only once, allowing to deal with a great variety of segmentation tasks. The effectiveness of the proposed model has been validated on image segmentation tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Li Liu, Weijie Zhang, Da Chen, and Minglei Shu "A new circular minimal path model for interactive image segmentation", Proc. SPIE 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 130890E (25 March 2024); https://doi.org/10.1117/12.3020926

ACCESS THE FULL ARTICLE

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