A Multi-objective Invasive Weed Optimization Method for Segmentation of Distress Images
Author(s) -
Eslam Mohammed Abdelkader,
Osama Moselhi,
Mohamed Marzouk,
Tarek Zayed
Publication year - 2020
Publication title -
intelligent automation and soft computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.271
H-Index - 27
eISSN - 2326-005X
pISSN - 1079-8587
DOI - 10.32604/iasc.2020.010100
Subject(s) - computer science , segmentation , weed , artificial intelligence , distress , weed science , computer vision , machine learning , ecology , biology
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