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Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation

Automatic deform detection on automotive body panel is challenging owing to its localization on a large surface, variation in appearance, and their rare occurrences. It is difficult to detect these deforms either by original models or by small-sample statistics using a single threshold. As a consequ...

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Main Authors: Muhammad Zuhair Bolqiah, Edris, Zahriladha, Zakaria, Mohd Shahril Izuan, Mohd Zin, Mohammed Saeed, Jawad
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/17099/1/Automated%20Deform%20Detection%20On%20Automotive%20Body%20Panels%20Using%20Gradient%20Filtering%20And%20Fuzzy%20C-Mean%20Segmentation.pdf
http://eprints.utem.edu.my/id/eprint/17099/
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spelling my.utem.eprints.170992021-09-09T00:06:12Z http://eprints.utem.edu.my/id/eprint/17099/ Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation Muhammad Zuhair Bolqiah, Edris Zahriladha, Zakaria Mohd Shahril Izuan, Mohd Zin Mohammed Saeed, Jawad T Technology (General) Automatic deform detection on automotive body panel is challenging owing to its localization on a large surface, variation in appearance, and their rare occurrences. It is difficult to detect these deforms either by original models or by small-sample statistics using a single threshold. As a consequence, this problem is focussed to derive a lot of good-quality deform detected from the surface images. These detections should discriminate the various surface deforms when fed to suitable image processing algorithms. This paper used gradient filtering and background illumination correction to identify the deform area. An algorithm to segment the deform area has been developed. It segments the deformation by using Fuzzy C-Means (FCM) segmentation. The algorithm is being test on three samples which are car door model, curve and flat surface with two types of deformations which is ding and dent deformations that occur on the surface. Penerbit UTM Press 2016 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17099/1/Automated%20Deform%20Detection%20On%20Automotive%20Body%20Panels%20Using%20Gradient%20Filtering%20And%20Fuzzy%20C-Mean%20Segmentation.pdf Muhammad Zuhair Bolqiah, Edris and Zahriladha, Zakaria and Mohd Shahril Izuan, Mohd Zin and Mohammed Saeed, Jawad (2016) Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation. Jurnal Teknologi, 78 (6-8). pp. 93-99. ISSN 0127-9696 10.11113/jt.v78.9060
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Muhammad Zuhair Bolqiah, Edris
Zahriladha, Zakaria
Mohd Shahril Izuan, Mohd Zin
Mohammed Saeed, Jawad
Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
description Automatic deform detection on automotive body panel is challenging owing to its localization on a large surface, variation in appearance, and their rare occurrences. It is difficult to detect these deforms either by original models or by small-sample statistics using a single threshold. As a consequence, this problem is focussed to derive a lot of good-quality deform detected from the surface images. These detections should discriminate the various surface deforms when fed to suitable image processing algorithms. This paper used gradient filtering and background illumination correction to identify the deform area. An algorithm to segment the deform area has been developed. It segments the deformation by using Fuzzy C-Means (FCM) segmentation. The algorithm is being test on three samples which are car door model, curve and flat surface with two types of deformations which is ding and dent deformations that occur on the surface.
format Article
author Muhammad Zuhair Bolqiah, Edris
Zahriladha, Zakaria
Mohd Shahril Izuan, Mohd Zin
Mohammed Saeed, Jawad
author_facet Muhammad Zuhair Bolqiah, Edris
Zahriladha, Zakaria
Mohd Shahril Izuan, Mohd Zin
Mohammed Saeed, Jawad
author_sort Muhammad Zuhair Bolqiah, Edris
title Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
title_short Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
title_full Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
title_fullStr Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
title_full_unstemmed Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
title_sort automated deform detection on automotive body panels using gradient filtering and fuzzy c-mean segmentation
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/17099/1/Automated%20Deform%20Detection%20On%20Automotive%20Body%20Panels%20Using%20Gradient%20Filtering%20And%20Fuzzy%20C-Mean%20Segmentation.pdf
http://eprints.utem.edu.my/id/eprint/17099/
_version_ 1710679419177140224
score 13.211869

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