Watersheds for Semi-Supervised Classification-Reference-Cited by-同舟云学术

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Watersheds for Semi-Supervised Classification

Published:2019-05 Issue:5 Volume:26 Page:720-724
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Challa Aditya^ORCID,Danda Sravan^ORCID,Sagar B. S. Daya^ORCID,Najman Laurent^ORCID

Funder

Indian Space Research Organisation

Agence Nationale de la Recherche

Science and Engineering Research Board

Programme dInvestissements dAvenir

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/8671680/08667657.pdf?arnumber=8667657

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discrete Morse Functions and Watersheds;Journal of Mathematical Imaging and Vision;2023-08-10

2. Cartoon-texture evolution for two-region image segmentation;Computational Optimization and Applications;2022-07-11

3. Triplet-Watershed for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2022

4. Extensions of Karger’s Algorithm: Why They Fail in Theory and How They Are Useful in Practice;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

5. A New Watershed Algorithm for Pothole Image Segmentation;Studies in Informatics and Control;2021-09-30

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