Dual-Fusion Active Contour Model with Semantic Information for Saliency Target Extraction of Underwater Images

Dual-Fusion Active Contour Model with Semantic Information for Saliency Target Extraction of Underwater Images

Underwater vision research is the foundation of marine-related disciplines. The target contour extraction is significant for target tracking and visual information mining. Aiming to resolve the problem that conventional active contour models cannot effectively extract the contours of salient targets...

Full description

Bibliographic Details
Main Authors: Shudi Yang, Jiaxiong Wu, Zhipeng Feng
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
underwater image
target contour extraction
active contour model
semantic information
saliency target
Online Access:https://www.mdpi.com/2076-3417/12/5/2515

Internet

https://www.mdpi.com/2076-3417/12/5/2515

Similar Items