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.

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.

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

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.

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.

"The information contained within this book will show that although the development and selection of instructional materials is generally done towards the end of the instructional design process, it must be viewed in a more inclusive way in that the visuals themselves may affect many other components of the educational design"--Provided by publisher.

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.