Image Processing with Cellular Topology PDF Download
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Author: Vladimir Kovalevsky
Publisher: Springer Nature
ISBN: 9811657726
Category : Computers
Languages : en
Pages : 191
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Book Description
This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.
Author: Vladimir Kovalevsky
Publisher: Springer Nature
ISBN: 9811657726
Category : Computers
Languages : en
Pages : 191
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Book Description
This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.
Author: M. J. B. Duff
Publisher:
ISBN:
Category : Cellular automata
Languages : en
Pages : 296
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Book Description
This book provides a detailed description of much of the recent work of the Image Processing Group at University College London -- the group which pioneered the successful construction of fully parallel processor arrays. The genesis of the current system, CLIP4, is covered in an introduction which is followed by sections describing the development of parallel algorithms for image processing and the software required for such development. The application of the system to a variety of specific problems in image processing is described, as is further work on hardware and software systems of enhanced capability. The results of this research and development program hold considerable interest for computer scientists, image analysts, artificial intelligence experts, and electronic engineers worldwide.
Author: Paul Rosin
Publisher: Springer
ISBN: 9783319356327
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation. The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of massive parallel computing devices. The book will provide attractive reading for a general audience because it has do-it-yourself appeal: all the computer experiments presented within it can be implemented with minimal knowledge of programming. The simplicity yet substantial functionality of the cellular automaton approach, and the transparency of the algorithms proposed, makes the text ideal supplementary reading for courses on image processing, parallel computing, automata theory and applications.
Author: John Keith Anderson
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Artificial neural networks are inspired by the abilities of humans and animals to learn and adapt. Feed-forward networks are both fast and powerful, and are particularly useful for statistical pattern recognition. These networks are inspired by portions of the brain such as the visual cortex. However, feed-forward networks have been shown inadequate for complex applications such as long-term optimization, reinforced learning and image processing. Cellular Neural Networks (CNNs) are a type of recurrent network which have been used extensively for image processing. CNNs have shown limited success solving problems which involve topological relationships. Such problems include geometric transformations such as affine transformation and image registration. The Cellular Simultaneous Recurrent Network (CSRN) has been exploited to solve the 2D maze traversal problem, which is a long-term optimization problem with similar topological relations. From its inception, it has been speculated that the CSRN may have important implications in image processing. However, to date, very little work has been done to study CSRNs for image processing tasks. In this work, we investigate CSRNs for image processing. We propose a novel, generalized architecture for the CSRN suitable for generic image processing tasks. This architecture includes the use of sub-image processing which greatly improves the efficacy of CSRNs for image processing. We demonstrate the application of the CSRN with this generalized architecture across a variety of image processing problems including pixel level transformations, filtering, and geometric transformations. Results are evaluated and compared with standard MATLAB® functions. To better understand the inner workings of the CSRN we investigate the use of various CSRN cores including: 1) the original Generalized Multi-Layered Perceptron (GMLP) core used by Pang and Werbos to solve the 2D maze traversal problem, 2) the Elman Simultaneous Recurrent Network (ESRN), and 3) a novel ESRN core with multi-layered feedback. We compare the functionality of these cores in image processing applications. Further, we introduce the application of the unscented Kalman filter (UKF) for training of the CSRN. Results are compared with the standard Extended Kalman Filter (EKF) training method of CSRN. Finally, implications of current findings and proposed research directions are presented.
Author: Tao Yang
Publisher:
ISBN:
Category : Arthritis
Languages : en
Pages : 308
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Book Description
Cellular operations will play a critical role in designing and programming nano-scale computers. In this book a cellular operation is defined as an operation which uses information within a neighbourhood to perform either local or global computational tasks. Cellular operations can be used to solve complex and computation-intensive problems such as parallel learning. Cellular operations can also be used to simulate and explain different kinds of physical phenomena such as small-world phenomena. Since many cellular computational platforms, such as cellular automata and cellular neural networks are proven to be as universal as the Turing machine, cellular operations can be used to solve any computable problems in Turing sense. Therefore, a cellular computer based on cellular operations can serve as an all-purpose computer. The cellular image operators presented in this book can help the design of image processing tasks for different hardware platforms based on either CPU or cellular processors. This book also provides a powerful toolbox for designing cellular hardware platforms such as nano-scale array processors and VLSI array processors. automata and fuzzy cellular automata can be used to solve engineering problems. On the other hand, this book can help electrical engineers to design software for cellular computers based on either micro-electronics or nano-electronics. This book can also serve as a handbook of parallel image processing for experts from the image processing community.
Author: Ertugrul Saatçi
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: T.Y. Kong
Publisher: Elsevier
ISBN: 0080552048
Category : Computers
Languages : en
Pages : 301
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Book Description
Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications. Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided. The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.
Author: João Manuel R. S. Tavares
Publisher: Springer Nature
ISBN: 3030934209
Category : Computers
Languages : en
Pages : 493
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Book Description
This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10–13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision.
Author: José Ruiz-Shulcloper
Publisher: Springer
ISBN: 3642418228
Category : Computers
Languages : en
Pages : 591
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Book Description
The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
Author: João Manuel R.S. Tavares
Publisher: CRC Press
ISBN: 1351377124
Category : Technology & Engineering
Languages : en
Pages : 671
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Book Description
This book contains keynote lectures and full papers presented at the International Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE), held in Coimbra, Portugal, on 20-21 October 2006. International contributions from nineteen countries provide a comprehensive coverage of the current state-of-the-art in the fields of: - Image Processing and Analysis; - Image Segmentation; - Data Interpolation; - Registration, Acquisition and Compression; - 3D Reconstruction; - Objects Tracking; - Motion and Deformation Analysis; - Objects Simulation; - Medical Imaging; - Computational Bioimaging and Visualization. Related techniques also covered in this book include the finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. Computational Modelling of Objects Represented in Images will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, and Computational Mechanics.
