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2015 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Multiresolution Approach to Processing Images for Different Applications

Interaction of Lower Processing with Higher Vision

verfasst von: Igor Vujović

Verlag: Springer International Publishing

Buchreihe : SpringerBriefs in Electrical and Computer Engineering

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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SUCHEN

Über dieses Buch

This book presents theoretical and practical aspects of the interaction between low and high level image processing. Multiresolution analysis owes its popularity mostly to wavelets and is widely used in a variety of applications. Low level image processing is important for the performance of many high level applications. The book includes examples from different research fields, i.e. video surveillance; biomedical applications (EMG and X-ray); improved communication, namely teleoperation, telemedicine, animation, augmented/virtual reality and robot vision; monitoring of the condition of ship systems and image quality control.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Application of the image processing is popular due to the fact that cameras are widely used sensors in automated systems nowadays. Motivation for the book is found in the research examples and explained in the introduction. This chapter presents an introduction to the book contents. Organization of the book is presented.
Igor Vujović
Chapter 2. Interaction of Lower and Higher Vision Applications
Abstract
In this chapter, an interaction between the lower vision application performance and the higher vision application performance is explained.
Igor Vujović
Chapter 3. Multiresolution Approaches in Image Processing
Abstract
This chapter explains a multiresolution approach to the image processing. Several transforms are mentioned, which can be used in the multiresolution approach. Wavelets are compared with Fourier transform, and short-term Fourier transform. Wavelet implementation issues are presented. Wavelet analysis is illustrated by an experimental example.
Igor Vujović
Chapter 4. Visual Quality Control
Abstract
Quality control is an interesting topic in signal processing. This chapter deals with quality control with a camera input to the algorithm. A literature overview is given. It is presented how the multiresolution can be used in this application. The last section explains how to use visualization techniques in dielectric material’s properties analysis.
Igor Vujović
Chapter 5. Possibilities for the Improvement of Human Work Conditions by Virtual/Augmented Reality
Abstract
This chapter deals with possibilities for the improvement of human work conditions and with the relaxation at remote and isolated work places (oil rigs, ships, spacecrafts, etc.). It is shown how cutting-edge visualization and communication techniques can improve safety and security. Furthermore, a multiresolution role is explained.
Igor Vujović
Chapter 6. Computer-Aided Diagnostics and Multiresolution Analysis Role in Medical Signal Processing
Abstract
Multiresolution role is considered for the application in computer-aided diagnostics. Two examples are shown, which are in the scope of our research group. The first example presents preliminary results in EMG analysis of brain signals obtained by experimenting with stutterers. The second example shows research results in diagnostics of occupational asbestosis. It was found how much levels of wavelet decomposition can be used without damage to the medical information in pulmonary X-ray images of the asbestos infected patients.
Igor Vujović
Chapter 7. Multiresolution Applications in Video Surveillance
Abstract
In this chapter, a multiresolution approach is solving several video surveillance issues is explained. Firstly, edge detection in robot vision is considered. Then, illumination variations problem is addressed with example in people motion detection. Camera jitter problem is addressed in the outdoor example. Removal of weather conditions is considered. Finally, an algorithm for data fusion is presented, which uses wavelet multiresolution approach in oil spill detection from the SAR images.
Igor Vujović
Chapter 8. Conclusions
Abstract
Area covered with this book includes several well-funded industries: the industry of medical electronics, the military industry and the entertainment industry. This chapter summarizes the conclusions from all chapters. General conclusion is the interaction between low-level vision applications and high-level vision applications, which are responsible for the final result of the system.
Igor Vujović
Backmatter
Metadaten
Titel
Multiresolution Approach to Processing Images for Different Applications
verfasst von
Igor Vujović
Copyright-Jahr
2015
Electronic ISBN
978-3-319-14457-3
Print ISBN
978-3-319-14456-6
DOI
https://doi.org/10.1007/978-3-319-14457-3

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