Qualitive surface roughness evaluation using haralick features and wavelet transform

Patricia Morala-Argueello; Joaquin Barreiro; Enrique Alegre; Sir Suarez; Victor Gonzalez-Castro

Qualitive surface roughness evaluation using haralick features and wavelet transform

Patricia Morala-Argueello, Joaquin Barreiro, Enrique Alegre, Sir Suarez, Victor Gonzalez-Castro

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

Abstract / Description of output

The research presented in this paper is aimed at the development of an automated vision system for classification of surface finish in turning parts. Haralick features in the frequency domain have been used to characterize finish roughness of metallic parts by means of the wavelet transform. First, the wavelet transform was applied to two sets of images, one belonging to parts with low roughness and other belonging to parts with high roughness. Haralick features were worked out for the image description. Then, a classification was performed using knn. Others simple and based on moment features were also calculated to compare the results against Haralickfeatures.

Original language	English
Title of host publication	Annals of DAAAM and Proceedings of the International DAAAM Symposium
Publisher	Danube Adria Association for Automation and Manufacturing, DAAAM
Pages	1241-1242
Number of pages	2
ISBN (Print)	9783901509704
Publication status	Published - 1 Jan 2009
Externally published	Yes
Event	Annals of DAAAM for 2009 and 20th International DAAAM Symposium "Intelligent Manufacturing and Automation: Focus on Theory, Practice and Education" - Vienna, United Kingdom Duration: 25 Nov 2009 → 28 Nov 2009

Conference

Conference	Annals of DAAAM for 2009 and 20th International DAAAM Symposium "Intelligent Manufacturing and Automation: Focus on Theory, Practice and Education"
Country/Territory	United Kingdom
City	Vienna
Period	25/11/09 → 28/11/09

Keywords / Materials (for Non-textual outputs)

Machine vision
Quality inspection
Surface roughness
Texture features
Wavelet transform

Cite this

@inproceedings{0be80d0de77342bea8fd5b4a8cd9ac1e,

title = "Qualitive surface roughness evaluation using haralick features and wavelet transform",

abstract = "The research presented in this paper is aimed at the development of an automated vision system for classification of surface finish in turning parts. Haralick features in the frequency domain have been used to characterize finish roughness of metallic parts by means of the wavelet transform. First, the wavelet transform was applied to two sets of images, one belonging to parts with low roughness and other belonging to parts with high roughness. Haralick features were worked out for the image description. Then, a classification was performed using knn. Others simple and based on moment features were also calculated to compare the results against Haralickfeatures.",

keywords = "Machine vision, Quality inspection, Surface roughness, Texture features, Wavelet transform",

author = "Patricia Morala-Argueello and Joaquin Barreiro and Enrique Alegre and Sir Suarez and Victor Gonzalez-Castro",

year = "2009",

month = jan,

day = "1",

language = "English",

isbn = "9783901509704",

pages = "1241--1242",

booktitle = "Annals of DAAAM and Proceedings of the International DAAAM Symposium",

publisher = "Danube Adria Association for Automation and Manufacturing, DAAAM",

note = "Annals of DAAAM for 2009 and 20th International DAAAM Symposium {"}Intelligent Manufacturing and Automation: Focus on Theory, Practice and Education{"} ; Conference date: 25-11-2009 Through 28-11-2009",

}

Morala-Argueello, P, Barreiro, J, Alegre, E, Suarez, S & Gonzalez-Castro, V 2009, Qualitive surface roughness evaluation using haralick features and wavelet transform. in Annals of DAAAM and Proceedings of the International DAAAM Symposium. Danube Adria Association for Automation and Manufacturing, DAAAM, pp. 1241-1242, Annals of DAAAM for 2009 and 20th International DAAAM Symposium "Intelligent Manufacturing and Automation: Focus on Theory, Practice and Education", Vienna, United Kingdom, 25/11/09.

Qualitive surface roughness evaluation using haralick features and wavelet transform. / Morala-Argueello, Patricia; Barreiro, Joaquin; Alegre, Enrique et al.
Annals of DAAAM and Proceedings of the International DAAAM Symposium. Danube Adria Association for Automation and Manufacturing, DAAAM, 2009. p. 1241-1242.

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

TY - GEN

T1 - Qualitive surface roughness evaluation using haralick features and wavelet transform

AU - Morala-Argueello, Patricia

AU - Barreiro, Joaquin

AU - Alegre, Enrique

AU - Suarez, Sir

AU - Gonzalez-Castro, Victor

PY - 2009/1/1

Y1 - 2009/1/1

N2 - The research presented in this paper is aimed at the development of an automated vision system for classification of surface finish in turning parts. Haralick features in the frequency domain have been used to characterize finish roughness of metallic parts by means of the wavelet transform. First, the wavelet transform was applied to two sets of images, one belonging to parts with low roughness and other belonging to parts with high roughness. Haralick features were worked out for the image description. Then, a classification was performed using knn. Others simple and based on moment features were also calculated to compare the results against Haralickfeatures.

AB - The research presented in this paper is aimed at the development of an automated vision system for classification of surface finish in turning parts. Haralick features in the frequency domain have been used to characterize finish roughness of metallic parts by means of the wavelet transform. First, the wavelet transform was applied to two sets of images, one belonging to parts with low roughness and other belonging to parts with high roughness. Haralick features were worked out for the image description. Then, a classification was performed using knn. Others simple and based on moment features were also calculated to compare the results against Haralickfeatures.

KW - Machine vision

KW - Quality inspection

KW - Surface roughness

KW - Texture features

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=84867581650&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84867581650

SN - 9783901509704

SP - 1241

EP - 1242

BT - Annals of DAAAM and Proceedings of the International DAAAM Symposium

PB - Danube Adria Association for Automation and Manufacturing, DAAAM

T2 - Annals of DAAAM for 2009 and 20th International DAAAM Symposium "Intelligent Manufacturing and Automation: Focus on Theory, Practice and Education"

Y2 - 25 November 2009 through 28 November 2009

ER -

Qualitive surface roughness evaluation using haralick features and wavelet transform

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

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Cite this