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Titlebook: Hybrid Metaheuristics for Image Analysis; Siddhartha Bhattacharyya Book 2018 Springer International Publishing AG, part of Springer Nature

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书目名称Hybrid Metaheuristics for Image Analysis
编辑Siddhartha Bhattacharyya
视频video
概述Contributions provide a multidimensional approach.Useful for researchers in computer science, electrical engineering, and information technology.Explains various soft computing techniques
图书封面Titlebook: Hybrid Metaheuristics for Image Analysis;  Siddhartha Bhattacharyya Book 2018 Springer International Publishing AG, part of Springer Nature
描述.This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization...The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology..
出版日期Book 2018
关键词Hybrid Metaheuristics; Soft Computing; Image Analysis; Image Thresholding; Image Segmentation; Evolutiona
版次1
doihttps://doi.org/10.1007/978-3-319-77625-5
isbn_softcover978-3-030-08497-4
isbn_ebook978-3-319-77625-5
copyrightSpringer International Publishing AG, part of Springer Nature 2018
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Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Paramesults obtained from the proposed method are more robust than those obtained by the comparative method. Additionally, the average execution time achieved by the proposed hybrid method (1.57 s) is lower than the computational time obtained by the comparative method on the database of 20 retinal images
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