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What is Edge Detection

Chapter 2
Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities
An image processing technique used to identify the boundaries of an object within a digital image by detecting discontinuities in the image’s brightness.
Published in Chapter:
A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions
Faouzi Kamoun (ESPRIT School of Engineering, Tunisia), Hazar Chaabani (ESPRIT School of Engineering, Tunisia), Fatma Outay (Zayed University, UAE), and Ansar-Ul-Haque Yasar (Hasselt University, Belgium)
Copyright: © 2020 |Pages: 28
DOI: 10.4018/978-1-5225-9019-4.ch002
Abstract
The immaturity of fog abatement technologies for highway usage has led to growing interest towards developing intelligent transportation systems that are capable of estimating meteorological visibility distance under foggy weather conditions. This capability is crucial to support next-generation cooperative situational awareness and collision avoidance systems as well as onboard driver assistance systems. This chapter presents a survey and a comprehensive taxonomy of daytime visibility distance estimation approaches based on a review and synthesis of the literature. The proposed taxonomy is both comprehensive (i.e., captures a wide spectrum of earlier contributions) and effective (i.e., enables easy comparison among previously proposed approaches). The authors also highlight some open research issues that warrant further investigation.
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Chapter 38
Active Contour Model for Medical Applications
Edges are a partition between different textures of the objects in the class. Edge also can be differentiated as discontinuities in image intensity between two adjacent pixels.The edges of an image are always the important property that offer an indication of higher frequency. Detection of edges in an image may help for so many image processing applications like image segmentation, data compression, and also help for well matching, such as image reconstruction and so on.
Published in Chapter: Active Contour Model for Medical Applications; From: Handbook of Research on Natural Computing for Optimization Problems
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Chapter 579
A Review of Image Segmentation Evaluation in the 21st Century
Edge detection is the most common approach for detecting discontinuities in images, and is the fundamental step in edge-based parallel process for segmentation. An edge is a local concept. To form a complete boundary of an object, edge detection should be followed by edge linking or connection.
Published in Chapter: A Review of Image Segmentation Evaluation in the 21st Century; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 13
An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images
An image processing technique to find the objects boundaries within images.
Published in Chapter: An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images; From: Examining Fractal Image Processing and Analysis
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Chapter 12
Melanocytic Lesions Screening through Particle Swarm Optimization
A set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply. These points generates an edge.
Published in Chapter: Melanocytic Lesions Screening through Particle Swarm Optimization; From: Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
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Chapter 286
Image Segmentation in the Last 40 Years
Edge detection is the most common approach for detecting discontinuities in images, and is the fundamental step in edge-based parallel process for segmentation. An edge is a local concept. To form a complete boundary of an object, edge detection should be followed by edge linking or connection.
Published in Chapter: Image Segmentation in the Last 40 Years; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 4
An Advanced Approach to Detect Edges of Digital Images for Image Segmentation
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Chapter 584
Half Century for Image Segmentation
Edge detection is the most common approach for detecting discontinuities in images, and is the fundamental step in edge-based parallel process for segmentation. An edge is a local concept. To form a complete boundary of an object, edge detection should be followed by edge linking or connection.
Published in Chapter: Half Century for Image Segmentation; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 57
Computational Methods in Biomedical Imaging
Image processing technique for enhancing the points of an image at which the luminous intensity changes sharply.
Published in Chapter: Computational Methods in Biomedical Imaging; From: Encyclopedia of Artificial Intelligence
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Chapter 5
Semi-Automatic Vertebra Segmentation
is a terminology in image processing and computer vision which consists on the location of edges by identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. The approaches based on first or second derivative of grey-scale intensity in the neighbourhood of each pixel are usually used.
Published in Chapter: Semi-Automatic Vertebra Segmentation; From: Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives
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Chapter 1
An Edge Detection Approach for Fractal Image Processing
An image processing technique to find the objects boundaries within images.
Published in Chapter: An Edge Detection Approach for Fractal Image Processing; From: Examining Fractal Image Processing and Analysis
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