Machine vision applied to highly variable objects

Hernando Fernandez-Canque; Sorin Hintea; Roberto Ramirez-Iniguez; Ali Ahmadinia; G. Csipkes; D. Csipkes

doi:10.1007/978-3-642-23854-3_50

Machine vision applied to highly variable objects

Hernando Fernandez-Canque, Sorin Hintea, Roberto Ramirez-Iniguez, Ali Ahmadinia, G. Csipkes, D. Csipkes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
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	https://doi.org/10.1007/978-3-642-23854-3_50
Publication status	Published - 2011

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	6883
ISSN (Print)	0302-9743

Keywords

machine vision
image processing
human posture recognition

Documents and Links

10.1007/978-3-642-23854-3_50

http://kes2011.kesinternational.org/index.php

Cite this

Fernandez-Canque, H., Hintea, S., Ramirez-Iniguez, R., Ahmadinia, A., Csipkes, G., & Csipkes, D. (2011). Machine vision applied to highly variable objects. In Knowledge-based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III (pp. 472-482). (Lecture Notes in Computer Science; Vol. 6883). Springer. https://doi.org/10.1007/978-3-642-23854-3_50

Fernandez-Canque, Hernando ; Hintea, Sorin ; Ramirez-Iniguez, Roberto et al. / Machine vision applied to highly variable objects. Knowledge-based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III. Berlin Heidelberg : Springer, 2011. pp. 472-482 (Lecture Notes in Computer Science).

@inproceedings{350b33a631944cc1bb89023b962f532e,

title = "Machine vision applied to highly variable objects",

abstract = "The work presented in this paper addresses Machine Vision (MV) applications to objects of ill defined shape, size, colour or texture. Developmentof Machine Vision through the years from its origin in the 1950{\textquoteright}s to date is analysed and their progress and trends are discussed. The paper concentrate inthe small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application tothis type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. Thepaper 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. ",

keywords = "machine vision, image processing, human posture recognition",

author = "Hernando Fernandez-Canque and Sorin Hintea and Roberto Ramirez-Iniguez and Ali Ahmadinia and G. Csipkes and D. Csipkes",

year = "2011",

doi = "10.1007/978-3-642-23854-3_50",

language = "English",

isbn = "978-3-642-23853-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "472--482",

booktitle = "Knowledge-based and Intelligent Information and Engineering Systems",

}

Fernandez-Canque, H, Hintea, S, Ramirez-Iniguez, R, Ahmadinia, A, Csipkes, G & Csipkes, D 2011, Machine vision applied to highly variable objects. in Knowledge-based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III. Lecture Notes in Computer Science, vol. 6883, Springer, Berlin Heidelberg, pp. 472-482. https://doi.org/10.1007/978-3-642-23854-3_50

Machine vision applied to highly variable objects. / Fernandez-Canque, Hernando; Hintea, Sorin; Ramirez-Iniguez, Roberto et al.

Knowledge-based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III. Berlin Heidelberg : Springer, 2011. p. 472-482 (Lecture Notes in Computer Science; Vol. 6883).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Machine vision applied to highly variable objects

AU - Fernandez-Canque, Hernando

AU - Hintea, Sorin

AU - Ramirez-Iniguez, Roberto

AU - Ahmadinia, Ali

AU - Csipkes, G.

AU - Csipkes, D.

PY - 2011

Y1 - 2011

N2 - The work presented in this paper addresses Machine Vision (MV) applications to objects of ill defined shape, size, colour or texture. Developmentof 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 inthe small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application tothis type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. Thepaper 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.

AB - The work presented in this paper addresses Machine Vision (MV) applications to objects of ill defined shape, size, colour or texture. Developmentof 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 inthe small number of MV applications to object of high variability, it discusses and present solutions to main problems associated with the MV application tothis type of objects. The problem of autofocus and problems associated with changes in illumination are discussed in details and solutions presented. Thepaper 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.

KW - machine vision

KW - image processing

KW - human posture recognition

U2 - 10.1007/978-3-642-23854-3_50

DO - 10.1007/978-3-642-23854-3_50

M3 - Conference contribution

SN - 978-3-642-23853-6

T3 - Lecture Notes in Computer Science

SP - 472

EP - 482

BT - Knowledge-based and Intelligent Information and Engineering Systems

PB - Springer

CY - Berlin Heidelberg

ER -

Fernandez-Canque H, Hintea S, Ramirez-Iniguez R, Ahmadinia A, Csipkes G, Csipkes D. Machine vision applied to highly variable objects. In Knowledge-based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part III. Berlin Heidelberg: Springer. 2011. p. 472-482. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-23854-3_50

Machine vision applied to highly variable objects

Abstract

Publication series

Keywords

Documents and Links

Fingerprint

Cite this