Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

Mahajan, Shubham, Joshi, Kapil, Pandit, Amit Kant

Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems
  • 出版商: Wiley
  • 出版日期: 2024-08-27
  • 售價: $6,450
  • 貴賓價: 9.5 折 $6,128
  • 語言: 英文
  • 頁數: 368
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394230923
  • ISBN-13: 9781394230921
  • 相關分類: Computer Vision

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in image processing and computer vision.

Researchers are working to create new algorithms that combine the methods provided by CI approaches to solve the problems of image processing and computer vision such as image size, noise, illumination, and security. The 19 chapters in this book examine computational intelligence (CI) approaches as alternative solutions for automatic computer vision and image processing systems in a wide range of applications, using machine learning and soft computing.

Applications highlighted in the book include:

  • diagnostic and therapeutic techniques for ischemic stroke, object detection, tracking face detection and recognition;
  • computational-based strategies for drug repositioning and improving performance with feature selection, extraction, and learning;
  • methods capable of retrieving photometric and geometric transformed images;
  • concepts of trading the cryptocurrency market based on smart price action strategies; comparative evaluation and prediction of exoplanets using machine learning methods; the risk of using failure rate with the help of MTTF and MTBF to calculate reliability; a detailed description of various techniques using edge detection algorithms;
  • machine learning in smart houses; the strengths and limitations of swarm intelligence and computation; how to use bidirectional LSTM for heart arrhythmia detection;
  • a comprehensive study of content-based image-retrieval techniques for feature extraction;
  • machine learning approaches to understanding angiogenesis;
  • handwritten image enhancement based on neutroscopic-fuzzy.

Audience

The book has been designed for researchers, engineers, graduate, and post-graduate students wanting to learn more about the theoretical and application aspects of soft computing and machine learning in image processing and computer vision.

商品描述(中文翻譯)

一本全面的書籍，提供高品質的研究，針對軟計算和機器學習在影像處理和電腦視覺中的理論與應用挑戰進行探討。

研究人員正在努力創造新的演算法，結合計算智慧（CI）方法，以解決影像處理和電腦視覺中的問題，例如影像大小、噪音、照明和安全性。本書的19章探討了計算智慧（CI）方法作為自動電腦視覺和影像處理系統的替代解決方案，涵蓋廣泛的應用，並使用機器學習和軟計算。

書中突出的應用包括：
- 用於缺血性中風的診斷和治療技術、物體檢測、追蹤、臉部檢測和識別；
- 基於計算的藥物重定位策略，通過特徵選擇、提取和學習來提高性能；
- 能夠檢索光度和幾何變換影像的方法；
- 基於智能價格行為策略的加密貨幣市場交易概念；使用機器學習方法對系外行星進行比較評估和預測；利用MTTF和MTBF計算可靠性時使用失敗率的風險；使用邊緣檢測演算法的各種技術的詳細描述；
- 智慧家庭中的機器學習；群體智慧和計算的優勢與限制；如何使用雙向LSTM進行心律不整檢測；
- 基於內容的影像檢索技術的綜合研究，用於特徵提取；
- 理解血管生成的機器學習方法；
- 基於神經模糊的手寫影像增強。

讀者對象
本書旨在為研究人員、工程師、研究生及碩士生設計，幫助他們深入了解軟計算和機器學習在影像處理和電腦視覺中的理論與應用。

作者簡介

Shubham Mahajan, PhD, is an assistant professor in the School of Engineering at Ajeekya D Y Patil University, Pune, Maharashtra, India. He has eight Indian, one Australian, and one German patent to his credit in artificial intelligence and image processing. He has authored/co-authored more than 50 publications including peer-reviewed journals and conferences. His main research interests include image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods with applications in optimization, data mining, machine learning, robotics, and optical communication.

Kapil Joshi, PhD, is an assistant professor in the Computer Science & Engineering Department, Uttaranchal Institute of Technology in Dehradun, India. His doctorate was on image quality enhancement using fusion techniques. He has 8 years of academic experience and has published patents, research papers, and two books. In 2021, he was awarded the 'Best Young Researcher' Award in Global Education and Corporate Leadership received by Life Way Tech India Pvt. Ltd.

Amit Kant Pandit, PhD, is an associate professor in the School of Electronics & Communication Engineering Shri Mata Vaishno Devi University, India. He has authored/co-authored more than 60 publications including peer-reviewed journals and conferences. He has two Indian and one Australian patent to his credit in artificial intelligence and image processing. His main research interests are image processing, video compression, image segmentation, fuzzy entropy, and nature-inspired computing methods with applications in optimization.

Nitish Pathak, PhD, is an associate professor in the Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, India. He has 17 years of engineering education experience and has published more than 80 journal articles, in peer-reviewed journals as well as book chapters, patents, and conference papers. His research areas include intelligent computing techniques, empirical software engineering, and artificial intelligence.

作者簡介(中文翻譯)

Shubham Mahajan, PhD，是印度馬哈拉施特拉邦浦那的Ajeekya D Y Patil University工程學院的助理教授。他在人工智慧和影像處理方面擁有八項印度專利、一項澳大利亞專利和一項德國專利。他已發表超過50篇出版物，包括同行評審的期刊和會議論文。他的主要研究興趣包括影像處理、視頻壓縮、影像分割、模糊熵、自然啟發的計算方法，並應用於優化、數據挖掘、機器學習、機器人技術和光通信。

Kapil Joshi, PhD，是印度德拉敦Uttaranchal Institute of Technology計算機科學與工程系的助理教授。他的博士論文研究使用融合技術進行影像品質增強。他擁有8年的學術經驗，並已發表專利、研究論文和兩本書籍。2021年，他獲得了由Life Way Tech India Pvt. Ltd.頒發的全球教育與企業領導最佳青年研究者獎。

Amit Kant Pandit, PhD，是印度Shri Mata Vaishno Devi University電子與通信工程學院的副教授。他已發表超過60篇出版物，包括同行評審的期刊和會議論文。他在人工智慧和影像處理方面擁有兩項印度專利和一項澳大利亞專利。他的主要研究興趣包括影像處理、視頻壓縮、影像分割、模糊熵和自然啟發的計算方法，並應用於優化。

Nitish Pathak, PhD，是印度新德里的Bhagwan Parshuram Institute of Technology資訊技術系的副教授。他擁有17年的工程教育經驗，並已發表超過80篇期刊文章，包括同行評審的期刊、書籍章節、專利和會議論文。他的研究領域包括智能計算技術、實證軟體工程和人工智慧。

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