Modern Metaheuristics in Image Processing

Oliva, Diego, Hinojosa, Salvador, Ortega-Sánchez, Noe

Modern Metaheuristics in Image Processing
  • 出版商: CRC
  • 出版日期: 2022-09-28
  • 售價: $2,500
  • 貴賓價: 9.5 折 $2,375
  • 語言: 英文
  • 頁數: 132
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032019778
  • ISBN-13: 9781032019772

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相關主題

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)

近年來，元啟發式演算法（MA）的使用逐漸增加，並且圖像處理領域也不例外。在過去的兩年中，大量的MA已被引入作為解決複雜優化問題的替代方案。本書收集了2019年和2020年最重要的MA，並驗證了它們在圖像處理任務中的應用。此外，本書還介紹了MA和數字圖像處理的文獻綜述，作為引言部分的資訊。每個演算法都有詳細的解釋，特別關注調整參數和適當的圖像處理任務實現。此外，本書還提供了多個示例，讓讀者可以探索和確認這種智能方法的使用。由於圖像處理廣泛應用於不同領域，本書考慮了包括磁共振圖像、熱像、農業圖像等不同類型的數據集。因此，讀者可以獲得一些實現的想法，以補充每個優化機制的理論。關於圖像處理問題，本書考慮了使用基於熵或變異數的不同度量進行分割。同樣，不同形狀的識別和對象的檢測也在相應的章節中進行了介紹。每個章節都配有大量的實驗和統計分析，讓讀者可以評估MA的性能。最後，本書還包括了一節討論和結論。該節還提供了一些開放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)

Prof. Diego Oliva於2007年從墨西哥瓜達拉哈拉的工業技術教育中心（CETI）獲得電子與電腦工程學士學位，2010年從墨西哥瓜達拉哈拉大學獲得電子工程與計算機科學碩士學位。他於2015年從馬德里康普頓斯大學獲得計算機科學博士學位。目前，他是墨西哥瓜達拉哈拉大學的副教授。他擁有墨西哥科學與技術委員會頒發的國家研究員2級的榮譽稱號。自2017年以來，他一直是IEEE的成員。他的研究興趣包括進化和群體算法、進化和群體算法的混合化以及計算智能。

Noé Ortega Sánchez於2008年從墨西哥瓜達拉哈拉大學獲得計算機工程學士學位，2011年從墨西哥瓜達拉哈拉大學獲得電子工程與計算機科學碩士學位。目前，他是墨西哥瓜達拉哈拉大學的博士生和講師。他的研究興趣包括進化和群體算法、圖像處理和計算智能。

Salvador Hinojosa是一位教授和研究員，目前隸屬於墨西哥蒙特雷技術與高等教育學院。他擁有馬德里康普頓斯大學的計算機工程博士學位和墨西哥瓜達拉哈拉大學的電子與電腦工程碩士學位。他的文獻貢獻包括二十多篇期刊文章和三本合著和合編的書籍，涉及元啟發式和機器學習在圖像處理、計算機視覺、能源和智慧城市問題解決中的應用。

Prof. Marco Perez-Cisneros於墨西哥瓜達拉哈拉大學獲得通訊與電子工程學士學位，墨西哥ITESO大學獲得工程碩士學位，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電子與計算機科學工程學院的教授和院長。在擔任現職之前，他曾擔任托納拉校區的科學學院院長和工程校區的計算機科學系主任。自2000年以來，他是墨西哥國家研究系統的成員，自2018年起，他是墨西哥國家科學院的成員。他還擔任《數學問題工程學》期刊的副編輯。

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