| 书目名称 | Metaheuristic Algorithms for Image Segmentation: Theory and Applications |
| 编辑 | Diego Oliva,Mohamed Abd Elaziz,Salvador Hinojosa |
| 视频video | |
| 概述 | Provides the most representative tools used for image segmentation.Examines the theory and application of metaheuristics algorithms for the segmentation of images from diverse sources.Presents a compe |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designedto solve complex optimization problems increases. .This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also sui |
| 出版日期 | Book 2019 |
| 关键词 | Image Processing; Optimization; Metaheuristics; Thresholding; Machine Learning; Evolutionary Computation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-12931-6 |
| isbn_softcover | 978-3-030-12933-0 |
| isbn_ebook | 978-3-030-12931-6Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 17:53:19
