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What is Hough Transform

Chapter 21
Handbook of Research on Advancements in Robotics and Mechatronics
A technique for shape positioning in image, especially for extracting lines, circles, ellipses.
Published in Chapter:
Modeling and Visual Navigation of Autonomous Surface Vessels
Jian Hong Mei (Universiti Sains Malaysia, Malaysia) and Mohd Rizal Arshad (Universiti Sains Malaysia, Malaysia)
Copyright: © 2015 |Pages: 35
DOI: 10.4018/978-1-4666-7387-8.ch021
Abstract
In this chapter, the authors address main issues of Navigation, Guidance, and Control (NGC) and vision system of Autonomous Surface Vessels (ASV). These issues compose research problems and related research findings in recent years. Related research results are reviewed first; then the hardware and subsystem of ASVs is introduced. For the typical rudder-propeller, three degrees of freedom horizontal underactuated model is presented. Visual ASV is applied more and more in complex and unknown environment with increasing demand of obstacles avoidance. Two examples of visual applications are demonstrated. One is riverbank identification using color segmentation and Hough Transform; the other is bridge detection using optical flow.
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Chapter 24
A Practical Perspective on Building Identification from Low-Resolution Mobile Images
A feature extraction technique that is concerned with the identification of lines and locations in an image.
Published in Chapter: A Practical Perspective on Building Identification from Low-Resolution Mobile Images; From: Handbook of Research on Mobile Multimedia, Second Edition
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Chapter 4
Environments Diagnosis by Means of Computer Vision System of Autonomous Flying Robots
An algorithm used to extract image elements. The technique supplies the image analysis and digital processing in a variety of computer vision facilities; is designed to search for primitives that belong to a certain shape types with utilizing a voting procedure.
Published in Chapter: Environments Diagnosis by Means of Computer Vision System of Autonomous Flying Robots; From: Automated Systems in the Aviation and Aerospace Industries
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Chapter 8
Development of a Stop-Line Violation Detection System for Indian Vehicles
It is a method to address the problem of making it possible to perform groupings of edge points into object candidate regions by performing an explicit voting procedure over a set of parameterized image objects.
Published in Chapter: Development of a Stop-Line Violation Detection System for Indian Vehicles; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
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