Dublin Core
Title
Intelligent Systems and Applications in Computer Vision
Subject
Computer Science, Engineering & Technology
Description
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.
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.
Creator
Nitin Mittal, Amit Kant Pandit, Mohamed Abouhawwash, Shubham Mahajan
Source
https://www.taylorfrancis.com/books/edit/10.1201/9781003453406/intelligent-systems-applications-computer-vision-nitin-mittal-amit-kant-pandit-mohamed-abouhawwash-shubham-mahajan?_gl=1*1uu3oue*_ga*NjI1MDYwOTAzLjE3MDY1NzQzNDg.*_ga_0HYE8YG0M6*MTcwNzI2OTE2OS4zLjEuMTcwNzI3MzE2OC4wLjAuMA..&_ga=2.102502214.656743298.1707205995-625060903.1706574348
Publisher
CRC Press
Date
2023
Contributor
Amalia TR
Format
PDF
Language
English
Type
Book
Identifier
https://doi.org/10.1201/9781003453406