Efficient 3D characterization of raised topological defects in smooth specular coatings

Pradeep Gnanaprakasam; Johné M. Parker; Subburengan Ganapathiraman; Zhen Hou

doi:10.1016/j.imavis.2008.03.008

Efficient 3D characterization of raised topological defects in smooth specular coatings

Pradeep Gnanaprakasam, Johné M. Parker, Subburengan Ganapathiraman, Zhen Hou

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Many smooth, highly specular coatings, such as automotive paints and appliance coatings, are subjected to considerable performance demands and manufacturers spend significant sums each year to monitor and repair coating surface quality. Additionally, changing product specifications and environmental regulations will continue to affect the processing parameters that influence surface appearance and quality. Therefore, it is vital to develop robust methods to monitor surface quality on-line and continuously examine the processes that significantly affect surface appearance in real-time. As a critical step, this paper presents a cost-effective machine vision system design that utilizes surface reflectance models as a rational basis. Experimental and numerical investigations of diffuse angle images of specular coated surfaces confirm that these images yield a three-dimensional characterization of surface defects, efficiently, from a single image.

Original language	English
Pages (from-to)	319-330
Number of pages	12
Journal	Image and Vision Computing
Volume	27
Issue number	4
DOIs	https://doi.org/10.1016/j.imavis.2008.03.008
State	Published - Mar 3 2009

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation, Division of Design, Manufacture and Industrial Innovation, under Grants DMI-9984867 and DMI-0074976, and Toyota Motor Manufacturing North America. The authors gratefully acknowledge undergraduate researcher James Casalino for his work in obtaining Eq. (7) and programming this equation on-board the DVT 530 to facilitate preliminary real-time studies.

Keywords

Camera calibration
Defect characterization
Surface quality of specular coatings
Surface reflectance model

ASJC Scopus subject areas

Signal Processing
Computer Vision and Pattern Recognition

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10.1016/j.imavis.2008.03.008

Cite this

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title = "Efficient 3D characterization of raised topological defects in smooth specular coatings",

abstract = "Many smooth, highly specular coatings, such as automotive paints and appliance coatings, are subjected to considerable performance demands and manufacturers spend significant sums each year to monitor and repair coating surface quality. Additionally, changing product specifications and environmental regulations will continue to affect the processing parameters that influence surface appearance and quality. Therefore, it is vital to develop robust methods to monitor surface quality on-line and continuously examine the processes that significantly affect surface appearance in real-time. As a critical step, this paper presents a cost-effective machine vision system design that utilizes surface reflectance models as a rational basis. Experimental and numerical investigations of diffuse angle images of specular coated surfaces confirm that these images yield a three-dimensional characterization of surface defects, efficiently, from a single image.",

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note = "Funding Information: This material is based upon work supported by the National Science Foundation, Division of Design, Manufacture and Industrial Innovation, under Grants DMI-9984867 and DMI-0074976, and Toyota Motor Manufacturing North America. The authors gratefully acknowledge undergraduate researcher James Casalino for his work in obtaining Eq. (7) and programming this equation on-board the DVT 530 to facilitate preliminary real-time studies.",

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AU - Gnanaprakasam, Pradeep

AU - Parker, Johné M.

AU - Ganapathiraman, Subburengan

AU - Hou, Zhen

N1 - Funding Information: This material is based upon work supported by the National Science Foundation, Division of Design, Manufacture and Industrial Innovation, under Grants DMI-9984867 and DMI-0074976, and Toyota Motor Manufacturing North America. The authors gratefully acknowledge undergraduate researcher James Casalino for his work in obtaining Eq. (7) and programming this equation on-board the DVT 530 to facilitate preliminary real-time studies.

PY - 2009/3/3

Y1 - 2009/3/3

N2 - Many smooth, highly specular coatings, such as automotive paints and appliance coatings, are subjected to considerable performance demands and manufacturers spend significant sums each year to monitor and repair coating surface quality. Additionally, changing product specifications and environmental regulations will continue to affect the processing parameters that influence surface appearance and quality. Therefore, it is vital to develop robust methods to monitor surface quality on-line and continuously examine the processes that significantly affect surface appearance in real-time. As a critical step, this paper presents a cost-effective machine vision system design that utilizes surface reflectance models as a rational basis. Experimental and numerical investigations of diffuse angle images of specular coated surfaces confirm that these images yield a three-dimensional characterization of surface defects, efficiently, from a single image.

AB - Many smooth, highly specular coatings, such as automotive paints and appliance coatings, are subjected to considerable performance demands and manufacturers spend significant sums each year to monitor and repair coating surface quality. Additionally, changing product specifications and environmental regulations will continue to affect the processing parameters that influence surface appearance and quality. Therefore, it is vital to develop robust methods to monitor surface quality on-line and continuously examine the processes that significantly affect surface appearance in real-time. As a critical step, this paper presents a cost-effective machine vision system design that utilizes surface reflectance models as a rational basis. Experimental and numerical investigations of diffuse angle images of specular coated surfaces confirm that these images yield a three-dimensional characterization of surface defects, efficiently, from a single image.

KW - Camera calibration

KW - Defect characterization

KW - Surface quality of specular coatings

KW - Surface reflectance model

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Efficient 3D characterization of raised topological defects in smooth specular coatings

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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