Soft Computing For Image Processing

Author : Sankar K. Pal,Ashish Ghosh,Malay K. Kundu
Publisher : Physica
Page : 600 pages
File Size : 54,8 Mb
Release : 2013-03-19
Category : Computers
ISBN : 9783790818581

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Soft Computing for Image Processing by Sankar K. Pal,Ashish Ghosh,Malay K. Kundu Pdf

Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets; for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.

Author : Mike Nachtegael,Dietrich van der Weken,Etienne E. Kerre,Wilfried Philips
Publisher : Springer
Page : 487 pages
File Size : 45,8 Mb
Release : 2007-06-24
Category : Technology & Engineering
ISBN : 9783540382331

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Soft Computing in Image Processing by Mike Nachtegael,Dietrich van der Weken,Etienne E. Kerre,Wilfried Philips Pdf

Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the largeness that the scientific field of "image processing" has become today. Many techniques are being applied, including soft computing. "Soft Computing in Image Processing: Recent Advances" follows the edited volumes "Fuzzy Techniques in Image Processing" (volume 52, published in 2000) and "Fuzzy Filters for Image Processing" (volume 122, published in 2003), and covers a wide range of both practical and theoretical applications of soft computing in image processing. The 16 excellent chapters of the book have been grouped into five parts: Applications in Remote Sensing, Applications in Image Retrieval, Applications in Image Analysis, Other Applications, and Theoretical Contributions. The focus of the book is on practical applications, which makes it interesting for every researcher that is involved with soft computing, image processing, or both scientific branches.

Author : Aboul Ella Hassanien,Diego Alberto Oliva
Publisher : Springer
Page : 718 pages
File Size : 43,8 Mb
Release : 2017-10-13
Category : Technology & Engineering
ISBN : 9783319637549

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Advances in Soft Computing and Machine Learning in Image Processing by Aboul Ella Hassanien,Diego Alberto Oliva Pdf

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Author : Leszek Rutkowski
Publisher : Springer
Page : 376 pages
File Size : 46,7 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783540400462

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New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by Leszek Rutkowski Pdf

Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.

Author : Ashish Ghosh,Sankar K. Pal
Publisher : World Scientific
Page : 374 pages
File Size : 40,5 Mb
Release : 2002
Category : Computers
ISBN : 9812776230

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Soft Computing Approach to Pattern Recognition and Image Processing by Ashish Ghosh,Sankar K. Pal Pdf

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

Author : Razmjooy, Navid,Estrela, Vania Vieira
Publisher : IGI Global
Page : 337 pages
File Size : 55,8 Mb
Release : 2019-02-22
Category : Technology & Engineering
ISBN : 9781522580287

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Applications of Image Processing and Soft Computing Systems in Agriculture by Razmjooy, Navid,Estrela, Vania Vieira Pdf

The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.

Author : Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Publisher : Academic Press
Page : 292 pages
File Size : 45,8 Mb
Release : 2018-01-18
Category : Technology & Engineering
ISBN : 9780128131749

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Soft Computing Based Medical Image Analysis by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas Pdf

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Author : Aboul Ella Hassanien,Diego Oliva
Publisher : Unknown
Page : 718 pages
File Size : 43,9 Mb
Release : 2018
Category : Image processing
ISBN : 331963755X

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Advances in Soft Computing and Machine Learning in Image Processing by Aboul Ella Hassanien,Diego Oliva Pdf

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Author : Ryszard S. Choraś
Publisher : Springer Science & Business Media
Page : 519 pages
File Size : 49,6 Mb
Release : 2011-08-14
Category : Technology & Engineering
ISBN : 9783642231544

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Image Processing & Communications Challenges 3 by Ryszard S. Choraś Pdf

This book was written to inform prospective readers of current trends in image processing and communications area. Image processing and communications represent a dynamic part of computer science, playing increasingly important role in an information era. This book presents the new approaches, in: image processing and computer vision; telecommunications networks, Web-based information systems; mathematical methods for these applications. This book is a collection of carefully selected chapters presenting the fundamental theory and practice of various aspects of image data processing and communications. The book consists of two sections: Image processing und Communications. The image processing section of this book provides an inside on mainly on theories and methodologies as well as the emerging applications of image processing. Various aspects of new trends and techniques in this field are discussed in the book, covering the following topics: Biometrics, Low level processing, Motion, stereo and tracking, Pattern Recognition, Video, Medical Image Analysis, Applications. The book summarises new developments in these topics.

Author : Etienne E. Kerre,Mike Nachtegael
Publisher : Physica
Page : 425 pages
File Size : 55,6 Mb
Release : 2013-03-19
Category : Computers
ISBN : 9783790818475

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Fuzzy Techniques in Image Processing by Etienne E. Kerre,Mike Nachtegael Pdf

Since time immemorial, vision in general and images in particular have played an important and essential role in human life. Nowadays, the field of image processing also has numerous scientific, commercial, industrial and military applications. All these applications result from the interaction between fun damental scientific research on the one hand, and the development of new and high-standard technology on the other hand. Regarding the scientific com ponent, quite recently the scientific community became familiar with "fuzzy techniques" in image processing, which make use of the framework of fuzzy sets and related theories. The theory of fuzzy sets was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from membership to nonmembership, providing partial degrees of member ship. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. With this vol ume, we want to demonstrate that the introduction and application of fuzzy techniques can also be very successful in the area of image processing. This book contains high-quality contributions of over 30 field experts, covering a wide range of both theoretical and practical applications of fuzzy techniques in image processing.

Author : Jude Hemanth,Valentina Emilia Balas
Publisher : Springer
Page : 337 pages
File Size : 50,5 Mb
Release : 2017-08-15
Category : Technology & Engineering
ISBN : 9783319613161

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Biologically Rationalized Computing Techniques For Image Processing Applications by Jude Hemanth,Valentina Emilia Balas Pdf

This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 55,9 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9789814486859

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Soft Computing Approach to Pattern Recognition and Image Processing by Anonim Pdf

Author : Mike Nachtegael,Dietrich van der Weken,Dimitri van de Ville,Etienne E. Kerre
Publisher : Springer
Page : 393 pages
File Size : 45,5 Mb
Release : 2013-06-05
Category : Technology & Engineering
ISBN : 9783540364207

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Fuzzy Filters for Image Processing by Mike Nachtegael,Dietrich van der Weken,Dimitri van de Ville,Etienne E. Kerre Pdf

The ongoing increase in scale of integration of electronics makes storage and computational power affordable to many applications. Also image process ing systems can benefit from this trend. A variety of algorithms for image processing tasks becomes close at hand. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. A particular useful property of fuzzy logic techniques is their ability to represent knowledge in a way which is comprehensible to human interpretation. The theory of fuzzy sets and fuzzy logic was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from mem bership to nonmembership, providing partial degrees of membership. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. The present book resulted from the workshop "Fuzzy Filters for Image Processing" which was organized at the 10th FUZZ-IEEE Conference in Mel bourne, Australia. At this event several speakers have given an overview of the current state-of-the-art of fuzzy filters for image processing. Afterwards, the book has been completed with contributions of other international re searchers.

Author : Siddhartha Bhattacharyya,Ujjwal Maulik
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 51,6 Mb
Release : 2013-10-04
Category : Computers
ISBN : 9783642402555

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Soft Computing for Image and Multimedia Data Processing by Siddhartha Bhattacharyya,Ujjwal Maulik Pdf

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions. This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.

Author : Chiranji Lal Chowdhary
Publisher : CRC Press
Page : 288 pages
File Size : 50,5 Mb
Release : 2020-01-06
Category : Business & Economics
ISBN : 9780429560040

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Intelligent Systems by Chiranji Lal Chowdhary Pdf

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.