Intelligent Systems and Applications in Computer Vision
暫譯: 計算機視覺中的智能系統與應用
Mittal, Nitin, Kant Pandit, Amit, Abouhawwash, Mohamed
- 出版商: CRC
- 出版日期: 2025-06-27
- 售價: $2,570
- 貴賓價: 9.5 折 $2,442
- 語言: 英文
- 頁數: 326
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032591870
- ISBN-13: 9781032591872
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相關分類:
Computer Vision
尚未上市，無法訂購
相關主題
商品描述
The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.
Features:
- Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing
- Covers deep learning algorithms in computer vision
- Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing
- Highlight optimization problems such as image segmentation and minimized feature design vector
- Presents platform and simulation tools for image processing and segmentation
The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.
商品描述(中文翻譯)
本書全面涵蓋了各種進化計算機視覺方法和應用、特徵選擇與提取以進行訓練和分類，以及在影像處理中的元啟發式演算法。進一步討論了優化的影像分割、其分析、模式識別和物體檢測。
**特色：**
- 討論基於機器學習的分析方法，如GAN網絡、自編碼器、計算成像和量子計算
- 涵蓋計算機視覺中的深度學習演算法
- 展示新穎的解決方案，如影像處理中的多解析度分析，以及用於解決影像處理相關挑戰的元啟發式演算法
- 突出優化問題，如影像分割和最小化特徵設計向量
- 提供影像處理和分割的平台及模擬工具
本書旨在讓讀者熟悉計算智能的基本原理，以及在影像處理和計算機視覺背景下，數位影像的智能應用及其他相關技術的最新進展。進一步涵蓋了重要主題，如影像水印、隱寫術、形態學處理和優化的影像分割。本書將成為電機工程、電子學、通信工程和計算機工程等領域的高年級本科生、研究生和學術研究者的理想參考書。
作者簡介
Dr. Amit Kant Pandit is working as an Associate Professor and is Ex-Hod, DECE, in Shri Mata Vaishno Devi University (SMVDU), Katra (India). He is a Senior member of IEEE and MIR labs member and has 19 years of academic experience.
Mohamed Abouhawwash received the BSc and MSc degrees in statistics and computer science from Mansoura University, Mansoura, Egypt, in 2005 and 2011, respectively. He finished his Ph.D. in Statistics and Computer Science, 2015, in a channel program between Michigan State University, USA, and Mansoura University, Egypt. He is at Computational Mathematics, Science, and Engineering (CMSE), Biomedical Engineering (BME) and Radiology, Institute for Quantitative Health Science & Engineering (IQ), Michigan State University, East Lansing, MI 48824, USA. He is an Assistant Professor with the Department of Mathematics, Faculty of Science, Mansoura University, Egypt. In 2018, Dr. Abouhawwash is a Visiting Scholar with the Department of Mathematics and Statistics, Faculty of Science, Thompson Rivers University, Kamloops, BC, Canada. His current research interests include evolutionary algorithms, machine learning, image reconstruction, and mathematical optimization. Dr. Abouhawwash was a recipient of the best master's and Ph.D. thesis awards from Mansoura University in 2012 and 2018, respectively.
Dr. Shubham Mahajan (Member, IEEE, ACM) received the B.Tech. degree from Baba Ghulam Shah Badshah University, the M.Tech. degree from Chandigarh University and Ph.D. degree with Shri Mata Vaishno Devi University (SMVDU), Katra, India. He is working as a Assistant Professor with Ajeenkya D Y Patil University, Pune. He has eight Indian, one Australian, one German Patent to his credit in the area of artificial intelligence and image processing. He has authored/coauthored 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, and also received the 'Best Research Paper Award' from ICRIC 2019 (Springer, LNEE) and also received the Best Student Award-2019, IEEE Region-10 Travel Grant Award-2019, 2nd runner up prize in IEEE RAS HACKATHON-2019 (Bangladesh) and IEEE Student Early Researcher Conference Fund (SERCF-2020), Emerging Scientist Award-2021, and IEEE Signal Processing Society Professional Development Grant-2021. He was a Campus Ambassador for IEEE, IIT Bombay, Kanpur, Varanasi, Delhi and various MNC's. He is constantly looking for collaboration opportunities with foreign professors and students.
作者簡介(中文翻譯)
Dr. Amit Kant Pandit 擔任印度 Shri Mata Vaishno Devi University (SMVDU) 的副教授及前電子與通訊工程系主任 (DECE)。他是 IEEE 的資深會員及 MIR 實驗室成員，擁有 19 年的學術經驗。
Mohamed Abouhawwash 於 2005 年和 2011 年分別在埃及曼蘇拉大學獲得統計學和計算機科學的學士及碩士學位。他於 2015 年在美國密西根州立大學與埃及曼蘇拉大學的聯合計畫中完成統計學和計算機科學的博士學位。他目前在美國密西根州立大學的計算數學、科學與工程 (CMSE)、生物醫學工程 (BME) 和放射學的定量健康科學與工程研究所 (IQ) 工作。他是埃及曼蘇拉大學科學院數學系的助理教授。2018 年，Abouhawwash 博士成為加拿大卑詩省坎盧普斯的湯普森河大學科學院數學與統計系的訪問學者。他目前的研究興趣包括進化演算法、機器學習、影像重建和數學優化。Abouhawwash 博士曾於 2012 年和 2018 年獲得曼蘇拉大學最佳碩士及博士論文獎。
Dr. Shubham Mahajan (IEEE、ACM 會員) 於 Baba Ghulam Shah Badshah University 獲得 B.Tech. 學位，於 Chandigarh University 獲得 M.Tech. 學位，並在印度的 Shri Mata Vaishno Devi University (SMVDU) 獲得博士學位。他目前在印度浦那的 Ajeenkya D Y Patil University 擔任助理教授。他在人工智慧和影像處理領域擁有八項印度專利、一項澳大利亞專利和一項德國專利。他已發表或共同發表超過 50 篇論文，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、資料挖掘、機器學習、機器人技術和光通信。他曾獲得 2019 年 ICRIC (Springer, LNEE) 的最佳研究論文獎，以及 2019 年最佳學生獎、IEEE 第 10 區旅行獎、2019 年 IEEE RAS HACKATHON (孟加拉) 的亞軍獎和 2020 年 IEEE 學生早期研究者會議基金 (SERCF)，2021 年新興科學家獎，以及 2021 年 IEEE 信號處理學會專業發展獎。他曾擔任 IEEE 的校園大使，並在 IIT 孟買、坎普爾、瓦拉納西、德里及多家跨國公司工作。他不斷尋求與外國教授和學生的合作機會。
