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Digital Image Processing Using Scilab
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Book Synopsis Digital Image Processing using SCILAB by : Rohit M. Thanki
Download or read book Digital Image Processing using SCILAB written by Rohit M. Thanki and published by Springer. This book was released on 2018-05-07 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing.
Book Synopsis Introduction to Digital Signal Processing Using Matlab and Scilab by : Atique Mohd. & Bhagat Amol
Download or read book Introduction to Digital Signal Processing Using Matlab and Scilab written by Atique Mohd. & Bhagat Amol and published by Vikas Publishing House. This book was released on with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Digital Signal Processing written for the undergraduate and post graduate students of Electrical, Electronics, Computer Science & Engineering and Information Technology meets the syllabus requirements of most Indian Universities. This covers basic concepts of digital signal processing which are necessary for the implementation of signal processing systems and applications. Elaboration of basic digital concepts using MATLAB and Scilab codes is provided for practical knowledge of the students. Some topics on classical/analytical Signal Processing required for various national level examinations like GATE etc. have also been covered.
Book Synopsis VipIMAGE 2017 by : João Manuel R.S. Tavares
Download or read book VipIMAGE 2017 written by João Manuel R.S. Tavares and published by Springer. This book was released on 2017-10-12 with total page 1164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18–20, 2017. These international contributions provide comprehensive coverage on the state-of-the-art in the following fields: 3D Vision, Computational Bio-Imaging and Visualization, Computational Vision, Computer Aided Diagnosis, Surgery, Therapy and Treatment, Data Interpolation, Registration, Acquisition and Compression, Industrial Inspection, Image Enhancement, Image Processing and Analysis, Image Segmentation, Medical Imaging, Medical Rehabilitation, Physics of Medical Imaging, Shape Reconstruction, Signal Processing, Simulation and Modelling, Software Development for Image Processing and Analysis, Telemedicine Systems and their Applications, Tracking and Analysis of Movement, and Deformation and Virtual Reality. In addition, it explores a broad range of related techniques, methods and applications, including: trainable filters, bilateral filtering, statistical, geometrical and physical modelling, fuzzy morphology, region growing, grabcut, variational methods, snakes, the level set method, finite element method, wavelet transform, multi-objective optimization, scale invariant feature transform, Laws’ texture-energy measures, expectation maximization, the Markov random fields bootstrap, feature extraction and classification, support vector machines, random forests, decision trees, deep learning, and stereo vision. Given its breadth of coverage, the book offers a valuable resource for academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics, Signal Processing, Medicine and Rehabilitation.
Book Synopsis INTERVAL TYPE-2 FUZZY SETS AND INTERVAL NEUTROSOPHIC SETS IN INTELLIGENT SYSTEMS by : M. LATHA MAHESWARI M.
Download or read book INTERVAL TYPE-2 FUZZY SETS AND INTERVAL NEUTROSOPHIC SETS IN INTELLIGENT SYSTEMS written by M. LATHA MAHESWARI M. and published by Infinite Study. This book was released on with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, interval type-2 fuzzy sets (IT2FSs) and interval neutrosophic sets (INSs) have been considered for all the proposed concepts. Fusion of information is an essential task to get the optimized solution for any real world problem. In this task, aggregation operators are playing an important role in all the fields. Since most of the realistic problems have uncertainty in nature, one can use the logic of fuzzy and neutrosophic theory. For the entire proposed concepts interval based logic has been used as it handles more uncertainty.
Book Synopsis Satellite Image Analysis: Clustering and Classification by : Surekha Borra
Download or read book Satellite Image Analysis: Clustering and Classification written by Surekha Borra and published by Springer. This book was released on 2019-02-08 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.
Book Synopsis Fractional-order Systems and PID Controllers by : Kishore Bingi
Download or read book Fractional-order Systems and PID Controllers written by Kishore Bingi and published by Springer Nature. This book was released on 2019-10-31 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a detailed study on fractional-order, set-point, weighted PID control strategies and the development of curve-fitting-based approximation techniques for fractional-order parameters. Furthermore, in all the cases, it includes the Scilab-based commands and functions for easy implementation and better understanding, and to appeal to a wide range of readers working with the software. The presented Scilab-based toolbox is the first toolbox for fractional-order systems developed in open-source software. The toolboxes allow time and frequency domains as well as stability analysis of the fractional-order systems and controllers. The book also provides real-time examples of the control of process plants using the developed fractional-order based PID control strategies and the approximation techniques. The book is of interest to readers in the areas of fractional-order controllers, approximation techniques, process modeling, control, and optimization, both in industry and academia. In industry, the book is particularly valuable in the areas of research and development (R&D) as well as areas where PID controllers suffice – and it should be noted that around 80% of low-level controllers in industry are PID based. The book is also useful where conventional PIDs are constrained, such as in industries where long-term delay and non-linearity are present. Here it can be used for the design of controllers for real-time processes. The book is also a valuable teaching and learning resource for undergraduate and postgraduate students.
Download or read book Scilab written by JLR Neto and published by net629. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: It is the first book for anyone who wants to know the possibilities of this software. It serves beginners in programming as well as for those who already work with other platforms. As free and open-source software, Scilab is an excellent alternative for those working in scientific computing with proprietary software. This guide aims to present the fundamentals of the environment and the programming language, showing practical examples of its functionalities.
Book Synopsis SCILAB (A Free Software To MATLAB) by : Achuthsankar S Nair
Download or read book SCILAB (A Free Software To MATLAB) written by Achuthsankar S Nair and published by S. Chand Publishing. This book was released on 2012 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductio To Scilab | The Scilab Environment | Scalars & Vectors | Matrices | Programming In Scilab | Polynomials | Menus And Dialog Boxes | Graphic Output | String Handling Functions | Statitics | Image Processing Using | Scicos Tool Box Functions | Scicos Visual Editor
Book Synopsis Emerging Trends in Image Processing, Computer Vision and Pattern Recognition by : Leonidas Deligiannidis
Download or read book Emerging Trends in Image Processing, Computer Vision and Pattern Recognition written by Leonidas Deligiannidis and published by Morgan Kaufmann. This book was released on 2014-12-09 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors' Leonidas Deligiannidis and Hamid Arabnia cover; - Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation - Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication - Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. - How to use image processing and visualization to analyze big data. - Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. - Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication. - Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. - Explains how to use image processing and visualization to analyze big data.
Book Synopsis Telematics and Computing by : Miguel Félix Mata-Rivera
Download or read book Telematics and Computing written by Miguel Félix Mata-Rivera and published by Springer Nature. This book was released on 2020-11-01 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 9th International Congress on Telematics and Computing, WITCOM 2020, held in Puerto Vallarta, Mexico, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 28 full papers and 3 short papers in this volume were carefully reviewed and selected from 79 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19.
Book Synopsis Human-Centered Technology for a Better Tomorrow by : Mohd Hasnun Arif Hassan
Download or read book Human-Centered Technology for a Better Tomorrow written by Mohd Hasnun Arif Hassan and published by Springer Nature. This book was released on 2021-10-01 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book acts as a compilation of papers presented in the Human Engineering Symposium (HUMENS 2021). The symposium theme, “Human-centered Technology for A Better Tomorrow,” covers the following research topics: ergonomics, biomechanics, sports technology, medical device and instrumentation, artificial intelligence / machine learning, industrial design, rehabilitation, additive manufacturing, modelling and bio-simulation, and signal processing. Fifty-nine articles published in this book are divided into four parts, namely Part 1—Artificial Intelligence and Biosimulation, Part 2—Biomechanics, Safety and Sports, Part 3—Design and Instrumentation, and Part 4—Ergonomics.
Book Synopsis Advanced Engineering for Processes and Technologies II by : Azman Ismail
Download or read book Advanced Engineering for Processes and Technologies II written by Azman Ismail and published by Springer Nature. This book was released on 2021-02-22 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book “Advanced Engineering for Processes and Technologies II” provides a good platform for participating researchers and academicians to share their latest innovation, technology and research findings in the areas of marine engineering technology and applications, sea management as well as engineering education. It offers an opportunity for academicians of the Universiti Kuala Lumpur, Malaysian Institute of Marine Engineering Technology (UniKL MIMET) to exchange ideas and establish a professional network. There are more than 30 papers covering a wide range of topics related to technologies and education including simulation, intellectual discussion, environmental awareness, enhancement of knowledge and skills. The aim of this book focuses more on the numerous technological methods used for the establishment of engineering innovation and productivity through their competitive research findings and the exposure of their relative merits and limitations. The papers shared in this issue will enable other researchers to generate interest and novel ideas that can lead to the discovery of new engineering knowledge.
Book Synopsis Methodologies and Applications of Computational Statistics for Machine Intelligence by : Samanta, Debabrata
Download or read book Methodologies and Applications of Computational Statistics for Machine Intelligence written by Samanta, Debabrata and published by IGI Global. This book was released on 2021-06-25 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past. Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians.
Book Synopsis Engineering Design and Analysis in the Art of Wayang Kulit by : Gea O.F Parikesit
Download or read book Engineering Design and Analysis in the Art of Wayang Kulit written by Gea O.F Parikesit and published by UGM PRESS. This book was released on 2018-05-29 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is divided into three main parts and an epilogue. The first part of the book provides a context for the readers to understand the underlying background of our work. Chapter 1 gives a brief overview about wayang kulit, whereas second chapter introduces the field of digital humanities that has particularly touched the art of wayang kulit. The second part of the book is focused on the engineering design in wayang kulit, particularly related to the methods we developed to display 3D shadow images. The third chapter qualitatively explains the phenomenon of colour-based stereoscopic shadows, which form the basis of 3D shadow images. In the fourth chapter we start to describe quantitatively the optical methods to synthesize the 3D shadow images. In the fifth chapter, we share our experiences from two art exhibitions, i.e. the Jogja ArtWeeks in 2015 and the 'Wayang and New Technology' in Tembi Rumah Budaya in 2016. The sixth chapter explores the quantitative methods to digitally synthesize the 3D shadow images, which opens up new possibilities in art performances, where dhalangs can combine real and virtual 3D shadow images. The third part of the book is focused on the engineering analysis in wayang kulit. In the seventh chapter, we start with the analysis of the puppet shapes. Afterwards, in the eighth chapter we use the 3D shadow images described in Chapters 3–6 to quantitatively measure the pose of the puppets. The same method can also be extended to analyse the puppet movements, which is explained in the ninth chapter. This quantitative analysis of the puppet movements is a continuation of the research pioneered by Prof. Roger A. Long in 1979, on the puppet movements in the Ngayogyakarta wayang kulit. Meanwhile, in the tenth chapter, we analyse the audiovisual patterns in wayang kulit performances. These patterns may become relevant, not only for engineers who are interested in developing interactive artworks, but also for scholars in the field of digital humanities who are interested to investigate the change of wayang kulit performances over space and time. [UGM Press, UGM, Gadjah Mada University Press]
Book Synopsis Expert Clouds and Applications by : I. Jeena Jacob
Download or read book Expert Clouds and Applications written by I. Jeena Jacob and published by Springer Nature. This book was released on 2023-07-01 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.
Book Synopsis A Beginner’s Guide to Image Preprocessing Techniques by : Jyotismita Chaki
Download or read book A Beginner’s Guide to Image Preprocessing Techniques written by Jyotismita Chaki and published by CRC Press. This book was released on 2018-10-25 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed. Key Features Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description Includes image data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline Details complications to resolve using image pre-processing
Book Synopsis Image Processing and Intelligent Computing Systems by : Prateek Singhal
Download or read book Image Processing and Intelligent Computing Systems written by Prateek Singhal and published by CRC Press. This book was released on 2023-01-17 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is presently a drastic growth in multimedia data. During the Covid-19 pandemic, we observed that images helped doctors immensely in the rapid detection of Covid-19 infection in patients. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with a problem’s dynamicity. These systems learn how to act so an image can reach an objective. An Intelligent System helps accomplish various image-processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image-processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, decision econometrics, as well as related challenges.
