Digital Image Processing using SCILAB

Digital Image Processing using SCILAB PDF Author: Rohit M. Thanki
Publisher: Springer
ISBN: 3319895338
Category : Technology & Engineering
Languages : en
Pages : 168

Get Book Here

Book Description
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.

Digital Image Processing using SCILAB

Digital Image Processing using SCILAB PDF Author: Rohit M. Thanki
Publisher: Springer
ISBN: 3319895338
Category : Technology & Engineering
Languages : en
Pages : 168

Get Book Here

Book Description
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.

Introduction to Digital Signal Processing Using Matlab and Scilab

Introduction to Digital Signal Processing Using Matlab and Scilab PDF Author: Atique Mohd. & Bhagat Amol
Publisher: Vikas Publishing House
ISBN: 9325984318
Category :
Languages : en
Pages : 262

Get Book Here

Book Description
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.

VipIMAGE 2017

VipIMAGE 2017 PDF Author: João Manuel R.S. Tavares
Publisher: Springer
ISBN: 3319681958
Category : Technology & Engineering
Languages : en
Pages : 1164

Get Book Here

Book Description
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.

INTERVAL TYPE-2 FUZZY SETS AND INTERVAL NEUTROSOPHIC SETS IN INTELLIGENT SYSTEMS

INTERVAL TYPE-2 FUZZY SETS AND INTERVAL NEUTROSOPHIC SETS IN INTELLIGENT SYSTEMS PDF Author: M. LATHA MAHESWARI M.
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 407

Get Book Here

Book Description
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.

Satellite Image Analysis: Clustering and Classification

Satellite Image Analysis: Clustering and Classification PDF Author: Surekha Borra
Publisher: Springer
ISBN: 9811364249
Category : Technology & Engineering
Languages : en
Pages : 110

Get Book Here

Book Description
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.

Fractional-order Systems and PID Controllers

Fractional-order Systems and PID Controllers PDF Author: Kishore Bingi
Publisher: Springer Nature
ISBN: 3030339343
Category : Technology & Engineering
Languages : en
Pages : 267

Get Book Here

Book Description
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.

Scilab

Scilab PDF Author: JLR Neto
Publisher: net629
ISBN:
Category : Young Adult Nonfiction
Languages : en
Pages :

Get Book Here

Book Description
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.

SCILAB (A Free Software To MATLAB)

SCILAB (A Free Software To MATLAB) PDF Author: Achuthsankar S Nair
Publisher: S. Chand Publishing
ISBN: 8121939704
Category : Computers
Languages : en
Pages : 212

Get Book Here

Book Description
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

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition PDF Author: Leonidas Deligiannidis
Publisher: Morgan Kaufmann
ISBN: 012802092X
Category : Computers
Languages : en
Pages : 646

Get Book Here

Book Description
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.

Telematics and Computing

Telematics and Computing PDF Author: Miguel Félix Mata-Rivera
Publisher: Springer Nature
ISBN: 3030625540
Category : Computers
Languages : en
Pages : 442

Get Book Here

Book Description
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.