Digital Image Processing (Maharashtra)


Book Description

Digital Image Processing is specially meant for the students of BE/ B Tech/ ME and M Tech students of Electronics & Telecommunication, Electronics Engineering, Computer Science Engineering, and Information Technology. This book provides a lucid, comprehensive and state-of-the-art introduction to Digital Image Processing in a hardnosed style. Expounding knowledge for Programming in MATLAB software has been provided in the book to help the students to formulate their concept into realistic things.




Fundamentals Of Digital Image Processing


Book Description

The fundamental techniques that are required to support image processing applications are investigated in depth throughout this book. Continuous image characterization, image sampling & quantization methods, and 2D signal processing methods all fall under this category of foundational technologies. The next sections cover the two main parts of image processing, namely, image improvement and restoration techniques, and the data extraction procedure. Essential to the success of the course is an overview of the foundations of digital image processing. This is achieved via a signal processing or algorithmic strategy, which makes learning the fundamentals of digital imaging less daunting. Each notion is constructed based on the underlying concepts and explained in depth, with an equal amount of focus placed on theory. In addition to the book itself, a companion website has been created that has several MATLAB applications that may be used to put image-processing strategies into practice. In addition to that, enhancement, transform processing, reconstruction from projections, morphology image processing, restoration, registration object representation and classification, edge detection, compression, and colour processing are all extensively covered in the book. Topics are provided in sequential sequence.




DIGITAL IMAGE PROCESSING


Book Description

This introduction to the fundamental concepts and methodologies of image processing is suitable for first-year postgraduate and senior undergraduate students in almost every engineering discipline, and in particular meets the requirement of the prescribed courses in the streams: Electronics and Communication, Computer Science and Engineering, Information Technology, and Computer Applications. The book, now in its second edition, continues to offer a balanced exposition of the basic principles and applications of image processing. It lays considerable emphasis on the algorithmic approach in order to teach students how to write good practical programs for problem solving. Major topics covered in the book include Image fundamentals, Different image transforms, Image enhancement in the spatial and frequency domains, Restoration, Image analysis, Image description, Image compression, Image reconstruction from projections, and Applications of image processing in the areas of biometrics, speaker recognition, satellite imaging, medical imaging, and many more. The style of presentation is comprehensive and application oriented, comprising examples, diagrams, image results, case studies of applications, and review questions—making it easy for students to understand key ideas, their practical relevance and applications. NEW TO THIS EDITION • Object representation, recognition and classification • MATLAB programs for image processing • OpenCV programs for image processing




Computational Vision and Bio Inspired Computing


Book Description

This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.




Recent Trends in Image Processing and Pattern Recognition


Book Description

This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020. The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I: Computer vision and applications; Data science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and recognition; Signal processing and pattern recognition; Image and signal processing in Agriculture.




DIGITAL IMAGE REPRESENTATION AND IMAGE SEGMENTATION


Book Description

The human eye has the capability of seeing individual rays of light, but it is the human brain that has the capability of perceiving individuals, automobiles, buildings, and everything else that constitutes the world. A camera may be able to pick up on separate beams of light, but a computer has the ability to differentiate between each individual color dot. The frustrating disparity that exists between the visual perceptions of humans and computers has been a source of ongoing annoyance for those who work in the field of computer vision for a significant amount of time. Those who work in this field have been forced to deal with this issue for a significant amount of time. How is it that something as simple as a collection of dots of varying colors can become something as complex as a steaming mug of coffee? How are we going to teach computers to identify and organize all of the many sorts of things that they come across? It is immediately obvious that a single colored dot transmits relatively little information about the broader entity to which it belongs when one gives this subject any consideration at all. This understanding comes to one very immediately after beginning to reflect on the topic in question. It is not possible to identify a cheetah based solely on a single black dot; rather, a larger section of the visual field is required in order to recognize the distinct recurrent patches of black on golden fur that are characteristic of this species. If you have a larger visual field, you will be able to recognize a cheetah. This results in the difficult problem of choosing which feature of a picture has to be focused on in order to guarantee that an item can be recognized correctly. The answer to this question is obviously the pixels that make up the item; it should go without saying that this is the case. Unhappily, things may take on a confusing number of forms, and even a single item, like our cheetah, can significantly alter the way it looks from different viewpoints. This is one of the things that makes the world a fascinating and unpredictable place. This is only one example of the numerous terrible things that happen in the real world.




Applied Computer Vision and Image Processing


Book Description

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.




Industrial Psychology


Book Description

The field of industrial psychology emerged when experts attempted to adapt psychological principles to everyday issues in the business world. Industrial psychology, in its simplest definition, is the study of human behavior in the workplace. The field of industrial psychology developed from psychology's early achievements in characterizing and quantifying individual variations. That "the examination of individual characteristics is an important cornerstone of the field" is a statement that may be accepted without much thought. Psychologists quickly realized the significance of these variations for fields as diverse as career advising, people selection, job placement, even organizational counseling. This subfield of psychology is concerned with the application of psychological concepts and theories to the business world. Industrial-organizational psychology (I-O psychology) focuses on improving workplace efficiency and associated concerns, such as the physical and mental health of workers. Industrial-organizational psychologists examine employee attitudes and behaviors, assess companies, and provide leadership development programs. Studying workplace behavior with the hopes of increasing efficiency is the primary focus of this academic discipline. Workplace happiness is a major focus of industrial psychologists' studies. In order to maximize productivity in the workplace, these experts devise policies and put them into effect.




Handbook of Research on Information Security in Biomedical Signal Processing


Book Description

Recent advancements and innovations in medical image and data processing have led to a need for robust and secure mechanisms to transfer images and signals over the internet and maintain copyright protection. The Handbook of Research on Information Security in Biomedical Signal Processing provides emerging research on security in biomedical data as well as techniques for accurate reading and further processing. While highlighting topics such as image processing, secure access, and watermarking, this publication explores advanced models and algorithms in information security in the modern healthcare system. This publication is a vital resource for academicians, medical professionals, technology developers, researchers, students, and practitioners seeking current research on intelligent techniques in medical data security.




Computer Vision and Information Technology


Book Description

Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction