Clustering Techniques For Image Segmentation

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Clustering Techniques For Image Segmentation

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Author : Fasahat Ullah Siddiqui
language : en
Publisher: Springer Nature
Release Date : 2021-10-29

Clustering Techniques For Image Segmentation written by Fasahat Ullah Siddiqui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Technology & Engineering categories.

This book presents the workings of major clustering techniques along with their advantages and shortcomings. After introducing the topic, the authors illustrate their modified version that avoids those shortcomings. The book then introduces four modified clustering techniques, namely the Optimized K-Means (OKM), Enhanced Moving K-Means-1(EMKM-1), Enhanced Moving K-Means-2(EMKM-2), and Outlier Rejection Fuzzy C-Means (ORFCM). The authors show how the OKM technique can differentiate the empty and zero variance cluster, and the data assignment procedure of the K-mean clustering technique is redesigned. They then show how the EMKM-1 and EMKM-2 techniques reform the data-transferring concept of the Adaptive Moving K-Means (AMKM) to avoid the centroid trapping problem. And that the ORFCM technique uses the adaptable membership function to moderate the outlier effects on the Fuzzy C-meaning clustering technique. This book also covers the working steps and codings of quantitative analysis methods. The results highlight that the modified clustering techniques generate more homogenous regions in an image with better shape and sharp edge preservation. Showcases major clustering techniques, detailing their advantages and shortcomings; Includes several methods for evaluating the performance of segmentation techniques; Presents several applications including medical diagnosis systems, satellite imaging systems, and biometric systems.

Data Analytics In Bioinformatics

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Author : Rabinarayan Satpathy
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-20

Data Analytics In Bioinformatics written by Rabinarayan Satpathy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Computers categories.

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Sensors And Image Processing

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Author : Shabana Urooj
language : en
Publisher: Springer
Release Date : 2017-10-03

Sensors And Image Processing written by Shabana Urooj and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with Technology & Engineering categories.

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Sensors and Image Processing. The contents of this book will be useful to researchers and students alike.

Progress In Advanced Computing And Intelligent Engineering

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Author : Bibudhendu Pati
language : en
Publisher:
Release Date : 2019

Progress In Advanced Computing And Intelligent Engineering written by Bibudhendu Pati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computer systems categories.

The book gathers high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes technical sections describing progress in the fields of advanced computing and intelligent engineering, and is primarily intended for postgraduate students and researchers working in Computer Science and Engineering. However, researchers working in Electronics will also find the book useful, as it addresses hardware technologies and next-gen communication technologies.

Metaheuristics For Data Clustering And Image Segmentation

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Author : Meera Ramadas
language : en
Publisher: Springer
Release Date : 2018-12-12

Metaheuristics For Data Clustering And Image Segmentation written by Meera Ramadas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Technology & Engineering categories.

In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.

Metaheuristic Algorithms For Image Segmentation Theory And Applications

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Author : Diego Oliva
language : en
Publisher: Springer
Release Date : 2019-03-02

Metaheuristic Algorithms For Image Segmentation Theory And Applications written by Diego Oliva and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-02 with Computers categories.

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designedto solve complex optimization problems increases. This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.

Modern Intelligent Techniques For Image Processing

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Author : Bhatti, Uzair Aslam
language : en
Publisher: IGI Global
Release Date : 2025-04-29

Modern Intelligent Techniques For Image Processing written by Bhatti, Uzair Aslam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.

Modern intelligent techniques, such as deep learning, neural networks, and computer vision algorithms, enable systems to automatically detect patterns, classify objects, and generate high-quality images. With the ability to process vast amounts of visual data, intelligent image processing transforms industries in healthcare, where it aids in techniques like medical imaging analysis or autonomous driving. It ensures real-time object recognition and navigation. Further research into image processing may reveal what these machines can understand and create, making it more efficient, accurate, and versatile. Modern Intelligent Techniques for Image Processing explores modern intelligent techniques for image processing, offering both theoretical foundations and hands-on applications. It examines the way images are analyzed, interpreted, and utilized across various domains including healthcare, autonomous vehicles, security, and entertainment. This book covers topics such as biometrics, image segmentation, and data annotation, and is a useful resource for computer engineers, medical and healthcare professionals, data scientists, academicians, and researchers.

Digital Image Processing

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Author : Mr. Bandam Narendar
language : en
Publisher: RK Publication
Release Date : 2024-06-21

Digital Image Processing written by Mr. Bandam Narendar and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.

Digital Image Processing the fundamentals and advanced techniques used to analyze, enhance, and transform digital images. It covers key concepts like image representation, filtering, segmentation, restoration, and compression. This both the theoretical foundations and practical applications of image processing, making it suitable for students and professionals in fields such as computer science, engineering, and applied sciences. With a balance of algorithms, examples, and visual illustrations, it provides readers with a comprehensive understanding of how digital images are processed and utilized in modern technology.

Advanced Image Processing Techniques And Applications

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Author : Kumar, N. Suresh
language : en
Publisher: IGI Global
Release Date : 2017-02-10

Advanced Image Processing Techniques And Applications written by Kumar, N. Suresh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-10 with Computers categories.

Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Handbook Of Biomedical Image Analysis

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Author : David Wilson
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-23

Handbook Of Biomedical Image Analysis written by David Wilson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-23 with Medical categories.

Stereo and temporal eye registration by mutual information maximization -- Quantification of brain aneurysm dimensions from CTA for surgical planning of coiling interventions -- Inverse consistent image registration -- A computer-aided design system for segmentation of volumetric images -- Inter-subject non-rigid registration: an overview with classification and the Romeo algorithm -- Elastic registration for biomedical applications -- Quo vadis, atlas-based segmentation -- Elastic registration for biomedical applications --