Abstract
The work presented in this paper addresses Machine Vision (MV) applications to objects of ill defined shape, size, colour or texture. Development
of Machine Vision through the years from its origin in the 1950’s to date is analysed and their progress and trends are discussed. The paper concentrate in
the small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application to
this type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. The
paper present and discuss general software architecture for MV applications. Two examples of this type of applications are presented: detection of microorganism in water and detection of suspicious activity in humans.
of Machine Vision through the years from its origin in the 1950’s to date is analysed and their progress and trends are discussed. The paper concentrate in
the small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application to
this type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. The
paper present and discuss general software architecture for MV applications. Two examples of this type of applications are presented: detection of microorganism in water and detection of suspicious activity in humans.
Original language | English |
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Title of host publication | Knowledge-based and Intelligent Information and Engineering Systems |
Subtitle of host publication | 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III |
Place of Publication | Berlin Heidelberg |
Publisher | Springer |
Pages | 472-482 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-642-23854-3 |
ISBN (Print) | 978-3-642-23853-6 |
DOIs | |
Publication status | Published - 2011 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 6883 |
ISSN (Print) | 0302-9743 |
Keywords
- machine vision
- image processing
- human posture recognition