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Author : Sergio E. Hernández
Publisher :
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.:/5 (456 download)
Download or read book Watershed-based Image Segmentation for Gray-scale and Color Images written by Sergio E. Hernández and published by . This book was released on 2000 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Information Resources Management Association
Publisher : Engineering Science Reference
ISBN 13 : 9781799885931
Total Pages : 550 pages
Book Rating : 4.8/5 (859 download)
Download or read book Research Anthology on Advancements in Quantum Technology written by Information Resources Management Association and published by Engineering Science Reference. This book was released on 2021 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One-volume reference collection of reprinted IGI Global book chapters and journal articles"--Preface.
Author : El-Sayed M. El-Alfy
Publisher : Springer
ISBN 13 : 331911218X
Total Pages : 663 pages
Book Rating : 4.3/5 (191 download)
Download or read book Advances in Intelligent Informatics written by El-Sayed M. El-Alfy and published by Springer. This book was released on 2014-09-08 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of refereed and revised papers of Intelligent Informatics Track originally presented at the third International Symposium on Intelligent Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers selected for this Track cover several intelligent informatics and related topics including signal processing, pattern recognition, image processing data mining and their applications.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (661 download)
Download or read book Image Segmentation written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-11 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Image Segmentation In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Image segmentation Chapter 2: Edge detection Chapter 3: Scale-invariant feature transform Chapter 4: Thresholding (image processing) Chapter 5: Otsu's method Chapter 6: Corner detection Chapter 7: Graph cuts in computer vision Chapter 8: Mean shift Chapter 9: Range segmentation Chapter 10: Watershed (image processing) (II) Answering the public top questions about image segmentation. (III) Real world examples for the usage of image segmentation in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Segmentation.
Author : Marek Franaszek
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (138 download)
Download or read book Gauging the Difficulty of Image Segmentation written by Marek Franaszek and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image segmentation is the first step in a complex process of object recognition. This report presents a method to gauge the difficulty of segmentation by calculating a scalar parameter Q for an image. This parameter depends on a distribution of the intensity of the grayscale image and the distribution of the clustering of pixels. It is assumed that images with a smaller number of clusters are easier to segment than images with a large number of clusters. Since segmentation precedes any human perception and categorization, the distribution of parameter Q introduced in this study may be useful in characterizing the variability of images collected in a training database for the development of object recognition algorithms which use Machine Learning (ML) methods. Parameter Q can be especially useful for building a representative dataset of images for training ML algorithms. To demonstrate a link between particular values of Q and different segmentation conditions, a few grayscale images were distorted by some common transformations (like Gaussian noise, median filtering, reduction in grayscale) and the corresponding values of parameter Q were calculated. To demonstrate a possible use of the parameter Q on data other than grayscale images, depth images of flat planar targets taken by two depth cameras were also processed.
Author : Tao Lei
Publisher : John Wiley & Sons
ISBN 13 : 1119859034
Total Pages : 340 pages
Book Rating : 4.1/5 (198 download)
Download or read book Image Segmentation written by Tao Lei and published by John Wiley & Sons. This book was released on 2022-09-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors—such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression—to assist graduate students and researchers apply and improve image segmentation in their work. Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology. Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory. Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc. Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods.
Author : Lilly Spirkovska
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (317 download)
Download or read book A Summary of Image Segmentation Techniques written by Lilly Spirkovska and published by . This book was released on 1993 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fasahat Ullah Siddiqiui
Publisher :
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.:/5 (96 download)
Download or read book Enhanced Clustering Algorithms for Gray-scale Image Segmentation written by Fasahat Ullah Siddiqiui and published by . This book was released on 2012 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kohei Arai
Publisher : Springer
ISBN 13 : 3030228711
Total Pages : 1127 pages
Book Rating : 4.0/5 (32 download)
Download or read book Intelligent Computing written by Kohei Arai and published by Springer. This book was released on 2019-06-22 with total page 1127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the Computing Conference 2019, providing a comprehensive collection of chapters focusing on core areas of computing and their real-world applications. Computing is an extremely broad discipline, encompassing a range of specialized fields, each focusing on particular areas of technology and types of application, and the conference offered pioneering researchers, scientists, industrial engineers, and students from around the globe a platform to share new ideas and development experiences. Providing state-of-the-art intelligent methods and techniques for solving real- world problems, the book inspires further research and technological advances in this important area.
Author : Pei-Gee Ho
Publisher : BoD – Books on Demand
ISBN 13 : 9533072288
Total Pages : 554 pages
Book Rating : 4.5/5 (33 download)
Download or read book Image Segmentation written by Pei-Gee Ho and published by BoD – Books on Demand. This book was released on 2011-04-19 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study.
Author : Siddhartha Bhattacharyya
Publisher : Springer
ISBN 13 : 3319472232
Total Pages : 327 pages
Book Rating : 4.3/5 (194 download)
Download or read book Hybrid Soft Computing for Image Segmentation written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2016-11-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization. The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.
Author : Vasile Patrascu
Publisher : Infinite Study
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4./5 ( download)
Download or read book Gray Level Image Threshold Using Neutrosophic Shannon Entropy written by Vasile Patrascu and published by Infinite Study. This book was released on with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article presents a new method of segmenting grayscale images by minimizing Shannon's neutrosophic entropy. For the proposed segmentation method, the neutrosophic information components, i.e., the degree of truth, the degree of neutrality and the degree of falsity are defi ned taking into account the belonging to the segmented regions and at the same time to the separation threshold area. The principle of the method is simple and easy to understand and can lead to multiple thresholds. The effcacy of the method is illustrated using some test gray level images. The experimental results show that the proposed method has good performance for segmentation with optimal gray level thresholds.
Author : U. Snekhalatha
Publisher : CRC Press
ISBN 13 : 1000688402
Total Pages : 247 pages
Book Rating : 4.0/5 (6 download)
Download or read book Artificial Intelligence-based Infrared Thermal Image Processing and its Applications written by U. Snekhalatha and published by CRC Press. This book was released on 2022-09-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the body’s surface. This book provides a description of designing and developing a computer-assisted diagnosis (CAD) system based on thermography for diagnosing such common ailments as rheumatoid arthritis (RA), diabetes complications, and fever. It also introduces applications of machine-learning and deep-learning methods in the development of CAD systems. Key Features: Covers applications of various image processing techniques in thermal imaging applications for the diagnosis of different medical conditions Describes the development of a computer diagnostics system (CAD) based on thermographic data Discusses deep-learning models for accurate diagnosis of various diseases Includes new aspects in rheumatoid arthritis and diabetes research using advanced analytical tools Reviews application of feature fusion algorithms and feature reduction algorithms for accurate classification of images This book is aimed at researchers and graduate students in biomedical engineering, medicine, image processing, and CAD.
Author : N. Ahuja
Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (354 download)
Download or read book Image Segmentation Based on Local Gray Level Patterns written by N. Ahuja and published by . This book was released on 1977 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yu-Jin Zhang
Publisher : CRC Press
ISBN 13 : 100068945X
Total Pages : 330 pages
Book Rating : 4.0/5 (6 download)
Download or read book A Selection of Image Analysis Techniques written by Yu-Jin Zhang and published by CRC Press. This book was released on 2022-10-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image‐processing related problems in real-life situations. The selected techniques include image segmentation, segmentation evaluation and comparison, saliency object detection, motion analysis, mathematical morphology methods, face recognition and expression classification. The author offers readers a three‐step strategy toward problem‐solving: first, essential principles; then, a detailed explanation; and finally, a discussion on practical and working techniques for specific tasks. He also encourages readers to make full use of available materials from the latest developments and trends. This is an excellent book for those who do not have a complete foundation in image technology but need to use image analysis techniques to perform specific tasks in particular applications.
Author : Mohammad Naved Qureshi
Publisher : Infinite Study
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4./5 ( download)
Download or read book An Improved Method for Image Segmentation Using K-Means Clustering with Neutrosophic Logic written by Mohammad Naved Qureshi and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images are one of the primary media for sharing information. The image segmentation is an important image processing approach, which analyzes what is inside the image. Image segmentation can be used in content-based image retrieval, image feature extraction, pattern recognition, etc. In this work, clustering based image segmentation method used and modified by introducing neutrosophic logic.
Author : Gai-Ge Wang
Publisher : CRC Press
ISBN 13 : 1040000363
Total Pages : 416 pages
Book Rating : 4.0/5 (4 download)
Download or read book Metaheuristic Algorithms written by Gai-Ge Wang and published by CRC Press. This book was released on 2024-04-03 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems in such fields as software engineering, image recognition, video networks, and in the oceans. In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods. Rich in examples, this book will be a great resource for students, scholars, and those interested in metaheuristic algorithms, as well as professional practitioners and researchers working on related topics.
