Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging

Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging PDF Author: Luis Enrique Garcia Ugarriza
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 68

Get Book Here

Book Description
"Image segmentation is a fundamental task in many computer vision applications. We present a novel unsupervised color image segmentation algorithm named GSEG, which exploits the information obtained from detecting edges in color images. By using a color gradient detection technique, pixels without edges are clustered and labeled individually to identify the image content. Elements that contain higher gradient density are included by a dynamic generation of clusters as the segmentation progresses. By quantizing the colors in the image and extracting texture information from the neighborhood entropy of each pixel, the proposed method obtains accurate models of texture that are highly effective to merge regions that belong to the same object. Experimental results for various image scenarios in comparison with state-of-the-art segmentation techniques demonstrate the performance advantages of the proposed method"--Abstract.

Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging

Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging PDF Author: Luis Enrique Garcia Ugarriza
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 68

Get Book Here

Book Description
"Image segmentation is a fundamental task in many computer vision applications. We present a novel unsupervised color image segmentation algorithm named GSEG, which exploits the information obtained from detecting edges in color images. By using a color gradient detection technique, pixels without edges are clustered and labeled individually to identify the image content. Elements that contain higher gradient density are included by a dynamic generation of clusters as the segmentation progresses. By quantizing the colors in the image and extracting texture information from the neighborhood entropy of each pixel, the proposed method obtains accurate models of texture that are highly effective to merge regions that belong to the same object. Experimental results for various image scenarios in comparison with state-of-the-art segmentation techniques demonstrate the performance advantages of the proposed method"--Abstract.

Uncertainty Modeling

Uncertainty Modeling PDF Author: Vladik Kreinovich
Publisher: Springer
ISBN: 3319510525
Category : Technology & Engineering
Languages : en
Pages : 298

Get Book Here

Book Description
This book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.

Hybrid Metaheuristics for Image Analysis

Hybrid Metaheuristics for Image Analysis PDF Author: Siddhartha Bhattacharyya
Publisher: Springer
ISBN: 3319776258
Category : Computers
Languages : en
Pages : 263

Get Book Here

Book Description
This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

Intelligent Multidimensional Data and Image Processing

Intelligent Multidimensional Data and Image Processing PDF Author: De, Sourav
Publisher: IGI Global
ISBN: 1522552472
Category : Computers
Languages : en
Pages : 449

Get Book Here

Book Description
As the most natural and convenient means of conveying or transmitting information, images play a vital role in our daily lives. Image processing is now of paramount importance in the computer vision research community, and proper processing of two-dimensional (2D) real-life images plays a key role in many real-life applications as well as commercial developments. Intelligent Multidimensional Data and Image Processing is a vital research publication that contains an in-depth exploration of image processing techniques used in various applications, including how to handle noise removal, object segmentation, object extraction, and the determination of the nearest object classification and its associated confidence level. Featuring coverage on a broad range of topics such as object detection, machine vision, and image conversion, this book provides critical research for scientists, computer engineers, professionals, researchers, and academicians seeking current research on solutions for new challenges in 2D and 3D image processing.

Power Electronics and Renewable Energy Systems

Power Electronics and Renewable Energy Systems PDF Author: C. Kamalakannan
Publisher: Springer
ISBN: 8132221192
Category : Technology & Engineering
Languages : en
Pages : 1546

Get Book Here

Book Description
The book is a collection of high-quality peer-reviewed research papers presented in the Proceedings of International Conference on Power Electronics and Renewable Energy Systems (ICPERES 2014) held at Rajalakshmi Engineering College, Chennai, India. These research papers provide the latest developments in the broad area of Power Electronics and Renewable Energy. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

New Approaches in Intelligent Image Analysis

New Approaches in Intelligent Image Analysis PDF Author: Roumen Kountchev
Publisher: Springer
ISBN: 3319321927
Category : Technology & Engineering
Languages : en
Pages : 389

Get Book Here

Book Description
This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.

Advanced Digital Image Processing and Its Applications in Big Data

Advanced Digital Image Processing and Its Applications in Big Data PDF Author: Ankur Dumka
Publisher: CRC Press
ISBN: 1000281310
Category : Computers
Languages : en
Pages : 237

Get Book Here

Book Description
This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.

Medical Imaging

Medical Imaging PDF Author: Okechukwu Felix Erondu
Publisher: BoD – Books on Demand
ISBN: 9533077743
Category : Medical
Languages : en
Pages : 416

Get Book Here

Book Description
What we know about and do with medical imaging has changed rapidly during the past decade, beginning with the basics, following with the breakthroughs, and moving on to the abstract. This book demonstrates the wider horizon that has become the mainstay of medical imaging sciences; capturing the concept of medical diagnosis, digital information management and research. It is an invaluable tool for radiologists and imaging specialists, physicists and researchers interested in various aspects of imaging.

Advanced Informatics for Computing Research

Advanced Informatics for Computing Research PDF Author: Ashish Kumar Luhach
Publisher: Springer
ISBN: 9811331405
Category : Computers
Languages : en
Pages : 830

Get Book Here

Book Description
This two-volume set (CCIS 955 and CCIS 956) constitutes the refereed proceedings of the Second International Conference on Advanced Informatics for Computing Research, ICAICR 2018, held in Shimla, India, in July 2018. The 122 revised full papers presented were carefully reviewed and selected from 427 submissions. The papers are organized in topical sections on computing methodologies; hardware; information systems; networks; security and privacy; computing methodologies.

Information Computing and Applications

Information Computing and Applications PDF Author: Rongbo Zhu
Publisher: Springer Science & Business Media
ISBN: 3642161669
Category : Computers
Languages : en
Pages : 624

Get Book Here

Book Description
This book constitutes the refereed proceedings of the First International Conference on Information Computing and Applications, ICICA 2010, held in Tangshan, China, in October 2010. The 76 papers are organized in topical sections on parallel and distributed computing; trusted and pervasive computing; internet and web computing; multimedia networking and computing; evolutionary computing and applications; scientific and engineering computing; and intelligent computing and applications.