Modern Metaheuristics in Image Processing
暫譯: 現代元啟發式演算法在影像處理中的應用
Oliva, Diego, Hinojosa, Salvador, Ortega-Sánchez, Noe
- 出版商: CRC
- 出版日期: 2022-09-28
- 售價: $2,600
- 貴賓價: 9.5 折 $2,470
- 語言: 英文
- 頁數: 132
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032019778
- ISBN-13: 9781032019772
海外代購書籍(需單獨結帳)
商品描述
The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition, literature review of both MA and digital image processing is presented as part of the introductory information. Each algorithm is detailed explained with special focus in the tuning parameters and the proper implementation for the image processing tasks. Besides several examples permits to the reader explore and confirm the use of this kind of intelligent methods. Since image processing is widely used in different domains, this book considers different kinds of datasets that includes, magnetic resonance images, thermal images, agriculture images, among others. The reader then can have some ideas of implementation that complement the theory exposed of each optimization mechanism. Regarding the image processing problems this book consider the segmentation by using different metrics based on entropies or variances. In the same way, the identification of different shapes and the detection of objects are also covered in the corresponding chapters. Each chapter is complemented with a wide range of experiments and statistical analysis that permits the reader to judge about the performance of the MA. Finally, there is included a section that includes some discussion and conclusions. This section also provides some open questions and research opportunities for the audience.
商品描述(中文翻譯)
使用元啟發式演算法（Metaheuristic Algorithms, MA）在近年來的應用逐漸增加，影像處理領域也不例外。在過去兩年中，許多MA被提出作為解決複雜優化問題的替代方案。本書收集了2019年和2020年最突出的MA，並驗證其在影像處理任務中的應用。此外，作為介紹性資訊的一部分，本書還提供了MA和數位影像處理的文獻回顧。每個演算法都詳細解釋，特別關注調整參數和在影像處理任務中的正確實現。此外，幾個範例使讀者能夠探索並確認這類智能方法的使用。由於影像處理在不同領域中廣泛應用，本書考慮了不同類型的數據集，包括磁共振影像、熱影像、農業影像等。讀者可以獲得一些實現的想法，以補充每個優化機制所揭示的理論。關於影像處理問題，本書考慮了使用基於熵或方差的不同度量進行的分割。同樣，對不同形狀的識別和物體的檢測也在相應的章節中涵蓋。每個章節都配有廣泛的實驗和統計分析，使讀者能夠評估MA的性能。最後，本書包含一個部分，提供一些討論和結論，並提出一些開放性問題和研究機會供讀者參考。
作者簡介
Prof. Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico, in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010. He obtained a Ph. D. in Informatics in 2015 from the Universidad Complutense de Madrid. Currently, he is an Associate Professor at the University of Guadalajara in Mexico. He has the distinction of National Researcher Rank 2 by the Mexican Council of Science and Technology. Since 2017 he has been a member of the IEEE. His research interest includes Evolutionary and swarm algorithms, hybridization of evolutionary and swarm algorithms, and Computational intelligence.
Noé Ortega Sánchez received the B.S. degree in Computer Engineering from University of Guadalajara, Mexico in 2008, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2011. Currently he is a Ph. D. student and Lecturer at the University of Guadalajara. His research interest includes Evolutionary and swarm algorithms, Image processing and Computational intelligence.
Salvador Hinojosa is a professor and researcher currently affiliated with the Monterrey Institute of Technology and Higher Education. He holds a PhD in Computer Engineering from the Complutense University of Madrid and a Master's degree in Electronic and Computer Engineering from the University of Guadalajara. His bibliographic contributions extend to more than twenty journal articles and three co-authored and co-edited books dealing with metaheuristics and machine learning for solving problems in image processing, computer vision, energy and smart cities.
Prof. Marco Perez-Cisneros received the BE. on Communications and Electronics Engineering from the University of Guadalajara, Mexico, the M. Eng., from ITESO University Mexico and Ph.D. degree from the University of Manchester, UK. He is Professor and Dean of the Electronics and Computer Science Division of Engineering Campus of the University of Guadalajara, Mexico. Prior to his current appointment, he was Dean of Sciences Division in Tonala Campus and Head of the Department of Computer Science in the Engineering Campus. Since 2000, he is a member of the National Research System in Mexico and since 2018 he is a member of the Mexican National Science Academy. He also serves as associated Editor of the Journal of Mathematical Problems in Engineering.
作者簡介(中文翻譯)
迭戈·奧利瓦教授於2007年獲得墨西哥瓜達拉哈拉工業技術教育中心（CETI）電子與計算機工程學士學位，並於2010年獲得瓜達拉哈拉大學電子工程與計算機科學碩士學位。他於2015年在馬德里康普頓斯大學獲得資訊學博士學位。目前，他是墨西哥瓜達拉哈拉大學的副教授。他獲得了墨西哥科學與技術委員會的國家研究人員二級榮譽。自2017年以來，他一直是IEEE的成員。他的研究興趣包括進化與群體演算法、進化與群體演算法的混合以及計算智能。
諾埃·奧爾特加·桑切斯於2008年獲得墨西哥瓜達拉哈拉大學計算機工程學士學位，並於2011年獲得瓜達拉哈拉大學電子工程與計算機科學碩士學位。目前，他是瓜達拉哈拉大學的博士生及講師。他的研究興趣包括進化與群體演算法、影像處理及計算智能。
薩爾瓦多·希諾霍薩是目前隸屬於蒙特雷科技與高等教育學院的教授和研究員。他擁有馬德里康普頓斯大學的計算機工程博士學位，以及瓜達拉哈拉大學的電子與計算機工程碩士學位。他的文獻貢獻包括超過二十篇期刊文章和三本共同撰寫及編輯的書籍，涉及元啟發式演算法和機器學習在影像處理、計算機視覺、能源和智慧城市問題解決中的應用。
馬可·佩雷斯-西斯內羅斯教授於墨西哥瓜達拉哈拉大學獲得通訊與電子工程學士學位，並在ITESO大學獲得工程碩士學位，隨後在英國曼徹斯特大學獲得博士學位。他是墨西哥瓜達拉哈拉大學工程校電子與計算機科學部的教授及院長。在目前的職位之前，他曾擔任托納拉校區的科學部院長及工程校區計算機科學系主任。自2000年以來，他是墨西哥國家研究系統的成員，自2018年以來，他是墨西哥國家科學院的成員。他還擔任《工程數學問題期刊》的副編輯。
