| 書(shū)目名稱(chēng) | Nature Inspired Optimization Techniques for Image Processing Applications |
| 編輯 | Jude Hemanth,Valentina Emilia Balas |
| 視頻video | http://file.papertrans.cn/663/662009/662009.mp4 |
| 概述 | Covers most of the nature-inspired optimization algorithms in a single resource.Provides step-by-step algorithm coverage to facilitate implementation for budding researchers.Addresses specific applica |
| 叢書(shū)名稱(chēng) | Intelligent Systems Reference Library |
| 圖書(shū)封面 |  |
| 描述 | .This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.. |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Nature Inspired Techniques; Optimization Algorithms; Image Processing; Computer Vision; Optimization; Nat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-96002-9 |
| isbn_softcover | 978-3-030-07126-4 |
| isbn_ebook | 978-3-319-96002-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機(jī)版|小黑屋|
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