Machine Vision Inspection Systems: Image Processing, Concepts, Methodologies, and Applications
暫譯: 機器視覺檢測系統：影像處理、概念、方法論與應用

Malarvel, Muthukumaran, Nayak, Soumya Ranjan, Panda, Surya Narayan

Machine Vision Inspection Systems: Image Processing, Concepts, Methodologies, and Applications
  • 出版商: Wiley
  • 出版日期: 2020-06-30
  • 售價: $6,880
  • 貴賓價: 9.5 折 $6,536
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119681804
  • ISBN-13: 9781119681809

    • 海外代購書籍(需單獨結帳)

商品描述

This edited book brings together leading researchers, academic scientists and research scholars to put forward and share their experiences and research results on all aspects of an inspection system for detection analysis for various machine vision applications. It also provides a premier interdisciplinary platform to present and discuss the most recent innovations, trends, methodology, applications, and concerns as well as practical challenges encountered and solutions adopted in the inspection system in terms of image processing and analytics of machine vision for real and industrial application.

Machine vision inspection systems (MVIS) utilized all industrial and non-industrial applications where the execution of their utilities based on the acquisition and processing of images. MVIS can be applicable in industry, governmental, defense, aerospace, remote sensing, medical, and academic/education applications but constraints are different. MVIS entails acceptable accuracy, high reliability, high robustness, and low cost. Image processing is a well-defined transformation between human vision and image digitization, and their techniques are the foremost way to experiment in the MVIS. The digital image technique furnishes improved pictorial information by processing the image data through machine vision perception. Digital image pro­cessing has widely been used in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc., ), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), barcode reading and traceability, medical diagnosis, weather forecasting, face recognition, defence and space research, etc. This edited book is designed to address various aspects of recent methodologies, concepts and research plan out to the readers for giving more depth insights for perusing research on machine vision using image processing techniques.

商品描述(中文翻譯)

本書匯集了領先的研究人員、學術科學家和研究學者，提出並分享他們在各種機器視覺應用的檢測分析系統方面的經驗和研究成果。它還提供了一個卓越的跨學科平台，以展示和討論最新的創新、趨勢、方法論、應用及相關問題，以及在圖像處理和機器視覺的檢測系統中所遇到的實際挑戰和採取的解決方案，特別是針對實際和工業應用。

機器視覺檢測系統（MVIS）在所有工業和非工業應用中都被利用，其效用的執行基於圖像的獲取和處理。MVIS 可應用於工業、政府、國防、航空航天、遙感、醫療和學術/教育等領域，但其限制各不相同。MVIS 需要具備可接受的準確性、高可靠性、高穩健性和低成本。圖像處理是人類視覺與圖像數位化之間的明確轉換，其技術是 MVIS 實驗的主要方式。數位圖像技術通過機器視覺感知處理圖像數據，提供改進的圖像信息。數位圖像處理已廣泛應用於 MVIS 應用中，並可用於各種問題，特別是在無損檢測（NDT）、存在/缺失檢測、缺陷/故障檢測（焊接、紡織、瓷磚、木材等）、自動化視覺測試與測量、模式匹配、光學字符識別與驗證（OCR/OCV）、條碼閱讀與可追溯性、醫療診斷、天氣預測、人臉識別、國防和太空研究等領域。本書旨在向讀者介紹近期方法論、概念和研究計劃的各個方面，以提供更深入的見解，促進使用圖像處理技術進行機器視覺研究。

作者簡介

Muthukumaran Malarvel obtained his PhD in Digital Image Processing and he is currently working as an Associate Professor in the Department of Computer Science and Engineering at Chitkara University, Punjab, India. His research interests include digital image processing, machine vision systems, image statistical analysis & feature extraction, and machine learning algorithms.

Soumya Ranjan Nayak obtained his PhD in computer science and engineering from the Biju Patnaik University of Technology, India. He has more than a decade of teaching and research experience and currently is working as an Assistant Professor, Amity University, Noida, India. His research interests include image analysis on fractal geometry, color and texture analysis jointly and separately.

Surya Narayan Panda is a Professor and Director Research at Chitkara University, Punjab, India. His areas of interest include Cybersecurity, Networking, Advanced Computer Networks, Machine Learning, and Artificial Intelligence. He has developed the prototype of Smart Portable Intensive Care Unit through which the doctor can provide immediate virtual medical assistance to emergency cases in the ambulance. He is currently involved in designing different healthcare devices for real-time issues using AI and ML.

Prasant Kumar Pattnaik Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He has more than a decade of teaching and research experience. His areas of interest include Mobile Computing, Cloud Computing, Cyber Security, Intelligent Systems and Brain Computer Interface.

Nittaya Muangnak is a lecturer at Kasetsart University, Thailand. Her PhD research has been on medical image analysis, particularly retinal fundus image, at Sirindhorn International Institute of Technology, Thammasat University in Thailand.

作者簡介(中文翻譯)

Muthukumaran Malarvel 獲得數位影像處理的博士學位，目前擔任印度旁遮普州 Chitkara 大學計算機科學與工程系的副教授。他的研究興趣包括數位影像處理、機器視覺系統、影像統計分析與特徵提取，以及機器學習演算法。

Soumya Ranjan Nayak 獲得印度 Biju Patnaik 科技大學的計算機科學與工程博士學位。他擁有超過十年的教學和研究經驗，目前在印度諾伊達的 Amity 大學擔任助理教授。他的研究興趣包括分形幾何的影像分析、顏色與紋理分析的聯合與分別研究。

Surya Narayan Panda 是印度旁遮普州 Chitkara 大學的教授及研究主任。他的研究領域包括網路安全、網路技術、高級計算機網路、機器學習和人工智慧。他開發了智能可攜式重症監護單元的原型，通過該設備，醫生可以在救護車中為緊急情況提供即時虛擬醫療協助。他目前參與設計不同的醫療設備，以解決實時問題，並使用 AI 和 ML 技術。

Prasant Kumar Pattnaik 博士（計算機科學），IETE 研究員，IEEE 高級會員，是印度布巴內斯瓦爾 KIIT 大學計算機工程學院的教授。他擁有超過十年的教學和研究經驗。他的研究興趣包括行動計算、雲計算、網路安全、智能系統和腦機介面。

Nittaya Muangnak 是泰國凱塞薩特大學的講師。她的博士研究專注於醫學影像分析，特別是視網膜底部影像，於泰國 Thammasat 大學的 Sirindhorn 國際科技學院進行。

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