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Advances and Applications of Optimised Algorithms in Image Processing

2016-11-21 Technology & Engineering
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Release : 2016-11-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 504/5 ( reviews)

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Book Synopsis Advances and Applications of Optimised Algorithms in Image Processing by : Diego Oliva

Download or read book Advances and Applications of Optimised Algorithms in Image Processing written by Diego Oliva. This book was released on 2016-11-21. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.

Recent Advances on Memetic Algorithms and its Applications in Image Processing

2019-12-07 Technology & Engineering
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Release : 2019-12-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 627/5 ( reviews)

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Book Synopsis Recent Advances on Memetic Algorithms and its Applications in Image Processing by : D. Jude Hemanth

Download or read book Recent Advances on Memetic Algorithms and its Applications in Image Processing written by D. Jude Hemanth. This book was released on 2019-12-07. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.

Applications of Hybrid Metaheuristic Algorithms for Image Processing

2020-03-27 Technology & Engineering
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Release : 2020-03-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 775/5 ( reviews)

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Book Synopsis Applications of Hybrid Metaheuristic Algorithms for Image Processing by : Diego Oliva

Download or read book Applications of Hybrid Metaheuristic Algorithms for Image Processing written by Diego Oliva. This book was released on 2020-03-27. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

Optimization Techniques in Computer Vision

2016-12-06 Computers
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Release : 2016-12-06
Genre : Computers
Kind : eBook
Book Rating : 640/5 ( reviews)

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Book Synopsis Optimization Techniques in Computer Vision by : Mongi A. Abidi

Download or read book Optimization Techniques in Computer Vision written by Mongi A. Abidi. This book was released on 2016-12-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc. Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.

Applications of Optimization and Machine Learning in Image Processing and IoT

2023-12-01 Computers
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Release : 2023-12-01
Genre : Computers
Kind : eBook
Book Rating : 993/5 ( reviews)

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Book Synopsis Applications of Optimization and Machine Learning in Image Processing and IoT by : Nidhi Gupta

Download or read book Applications of Optimization and Machine Learning in Image Processing and IoT written by Nidhi Gupta. This book was released on 2023-12-01. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing. KEY FEATURES: • Includes fundamental concepts towards advanced applications in machine learning and IoT. • Discusses potential and challenges of machine learning for IoT and optimization • Reviews recent advancements in diverse researches on computer vision, networking and optimization field. • Presents latest technologies such as machine learning in image processing and IoT This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

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