Modern Intelligent Techniques for Image Processing

Uzair Aslam Bhatti, Muhammad Aamir, Yonis Gulzar , Sibghat Ullah Bazai

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English

Information Science Publishing
29 April 2025

Graphical & digital media applications; Computer vision; Image processing

Modern intelligent techniques, such as deep learning, neural networks, and computer vision algorithms, enable systems to automatically detect patterns, classify objects, and generate high-quality images. With the ability to process vast amounts of visual data, intelligent image processing transforms industries in healthcare, where it aids in techniques like medical imaging analysis or autonomous driving. It ensures real-time object recognition and navigation. Further research into image processing may reveal what these machines can understand and create, making it more efficient, accurate, and versatile. Modern Intelligent Techniques for Image Processing explores modern intelligent techniques for image processing, offering both theoretical foundations and hands-on applications. It examines the way images are analyzed, interpreted, and utilized across various domains including healthcare, autonomous vehicles, security, and entertainment. This book covers topics such as biometrics, image segmentation, and data annotation, and is a useful resource for computer engineers, medical and healthcare professionals, data scientists, academicians, and researchers.

Edited by: Uzair Aslam Bhatti, Muhammad Aamir, Yonis Gulzar, Sibghat Ullah Bazai
Imprint: Information Science Publishing
Country of Publication: United States
Dimensions: Height: 279mm, Width: 216mm,
ISBN: 9798369390467
Pages: 660
Publication Date: 29 April 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Uzair Aslam Bhatti was born in 1986. He received the Ph.D. degree in information and communication engineering, Hainan University, Haikou, Hainan, in 2019. He is pursuing the Postdoctoral degree in implementing Clifford algebra algorithms in analyzing the geospatial data using artificial intelligence (AI) with Nanjing Normal University, Nanjing, China. His areas of specialty include AI, machine learning, and image processing. Muhammad Aamir is an Associate Professor in the Department of Computer Science at Huanggang Normal University, China. He has several years of research experience and has been widely published. M. Aamir has served as a reviewer for many prestigious journals and also served as an organizing member of many international conferences. His research spans multiple areas, including pattern recognition, computer vision, image processing, deep learning, fractional calculus, and organization behavior. Sibghat Ullah received the B.S.C.S. degree from the University of Peshawar, and the master’s degree in electronics and communication engineering from the Beijing University of Posts and Telecommunications, Beijing, China, where he is currently pursuing the Ph.D. degree with the State key Laboratory of Information Photonics and Optical Communications. His research interests include coherent optical communications, optical multicarrier/frequency comb generation, wavelength division multiplexed passive optical networks, and long reach PON