Quantum Inspired Meta-Heuristics for Image Analysis
暫譯: 量子啟發的元啟發式演算法於影像分析中的應用
Dey, Sandip, Bhattacharyya, Siddhartha, Maulik, Ujjwal
- 出版商: Wiley
- 出版日期: 2019-08-05
- 定價: $3,600
- 售價: 9.5 折 $3,420
- 語言: 英文
- 頁數: 376
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119488753
- ISBN-13: 9781119488750
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相關分類:
量子 Quantum
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商品描述
INTRODUCES QUANTUM INSPIRED TECHNIQUES FOR IMAGE ANALYSIS FOR PURE AND TRUE GRAY SCALE/COLOR IMAGES IN A SINGLE/MULTI-OBJECTIVE ENVIRONMENT
This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence of quantum computing paradigm, its features, and properties, and elaborates on the fundamentals of different meta-heuristics and their application to image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics to be applied to image analysis.
Quantum Inspired Meta-heuristics for Image Analysis begins with a brief summary on image segmentation, quantum computing, and optimization. It also highlights a few relevant applications of the quantum based computing algorithms, meta-heuristics approach, and several thresholding algorithms in vogue. Next, it discusses a review of image analysis before moving on to an overview of six popular meta-heuristics and their algorithms and pseudo-codes. Subsequent chapters look at quantum inspired meta-heuristics for bi-level and gray scale multi-level image thresholding; quantum behaved meta-heuristics for true color multi-level image thresholding; and quantum inspired multi-objective algorithms for gray scale multi-level image thresholding. Each chapter concludes with a summary and sample questions.
- Provides an in-depth analysis of quantum mechanical principles
- Offers a comprehensive review of image analysis
- Analyzes different state-of-the-art image thresholding approaches
- Details current, popular standard meta-heuristics in use today
- Guides readers step by step in the build-up of quantum inspired meta-heuristics
- Includes a plethora of real life case studies and applications
- Features statistical test analysis of the performances of the quantum inspired meta-heuristics vis-à-vis their conventional counterparts
Quantum Inspired Meta-heuristics for Image Analysis is an excellent source of information for anyone working with or learning quantum inspired meta-heuristics for image analysis.
商品描述(中文翻譯)
介紹量子啟發技術於純粹及真實灰階/彩色影像分析中的單一/多目標環境
本書將吸引讀者設計高效的元啟發式演算法以應用於量子領域的影像分析。它介紹了量子計算範式的本質、特徵和性質,並詳細說明了不同元啟發式演算法的基本原理及其在影像分析中的應用。因此,本書將為設計和開發量子計算啟發的元啟發式演算法應用於影像分析鋪平道路。
量子啟發的影像分析元啟發式演算法以影像分割、量子計算和優化的簡要總結開始。它還突顯了一些與量子計算演算法、元啟發式方法及幾種流行的閾值演算法相關的應用。接下來,書中回顧了影像分析,然後概述了六種流行的元啟發式演算法及其演算法和偽代碼。隨後的章節探討了量子啟發的元啟發式演算法在雙層及灰階多層影像閾值化中的應用;量子行為的元啟發式演算法在真彩色多層影像閾值化中的應用;以及量子啟發的多目標演算法在灰階多層影像閾值化中的應用。每章結尾都有總結和範例問題。
- 提供量子力學原則的深入分析
- 提供影像分析的全面回顧
- 分析不同的最先進影像閾值化方法
- 詳細介紹當前流行的標準元啟發式演算法
- 逐步指導讀者建立量子啟發的元啟發式演算法
- 包含大量的實際案例研究和應用
- 特徵統計測試分析量子啟發的元啟發式演算法與其傳統對應物的性能比較
量子啟發的影像分析元啟發式演算法是任何從事或學習量子啟發的影像分析元啟發式演算法的人的優秀資訊來源。
作者簡介
SANDIP DEY, PHD, is an Associate Professor and Chair in the department of Computer Science & Engineering at the Global Institute of Management and Technology, Krishnanagar, Nadia, West Bengal, India.
SIDDHARTHA BHATTACHARYYA, PHD, is the Principal of RCC Institute of Information Technology, Kolkata, India.
UJJWAL MAULIK, PHD, is the Chair of and Professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
作者簡介(中文翻譯)
SANDIP DEY, 博士, 是印度西孟加拉邦克里希納納加爾全球管理與技術學院計算機科學與工程系的副教授及系主任。
SIDDHARTHA BHATTACHARYYA, 博士, 是印度加爾各答RCC資訊技術學院的院長。
UJJWAL MAULIK, 博士, 是印度加爾各答賈達夫普大學計算機科學與工程系的系主任及教授。