Adaptive appearance separation for interactive image segmentation based on Dense CRF-Reference-Cited by-同舟云学术

Adaptive appearance separation for interactive image segmentation based on Dense CRF

Published:2019-01 Issue:1 Volume:13 Page:142-151
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Peng Zili¹,Li Qiaoliang¹

Affiliation:

1. Key Laboratory of High Performance Computing and Stochastic Information Processing (HPCSIP, Ministry of Education of China)College of Mathematics and Computer Science, Hunan Normal UniversityChangshaHunan410081People's Republic of China

Funder

National Natural Science Foundation of China

Construct Program of the Key Discipline in Hunan Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5073

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