Defect Detection on Texture using Statistical Approach
In this paper we present several techniques for detecting simple defect on the texture. The simple defect means, that the defect can be detected via image histogram or via wavelet of the image histogram. Hill estimator is one of the techniques that we suggest to use to solve this problem, since it d...
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Petra Christian University
2015-12-01
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Online Access: | http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/19344 |
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doaj-dc3bad9c7cc54e72aaad1ec7fb747eef2020-11-24T22:39:00ZengPetra Christian UniversityJurnal Teknik Industri1411-24852087-74392015-12-011728996Defect Detection on Texture using Statistical ApproachSiana Halim0 Industrial Engineering <br />Petra Christian University <br />Surabaya - Indonesia In this paper we present several techniques for detecting simple defect on the texture. The simple defect means, that the defect can be detected via image histogram or via wavelet of the image histogram. Hill estimator is one of the techniques that we suggest to use to solve this problem, since it does not need estimate parameters for estimating the image densityhttp://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/19344Hill estimatorkernel density estimateimage histogramwavelettexturedefect. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Siana Halim |
spellingShingle |
Siana Halim Defect Detection on Texture using Statistical Approach Jurnal Teknik Industri Hill estimator kernel density estimate image histogram wavelet texture defect. |
author_facet |
Siana Halim |
author_sort |
Siana Halim |
title |
Defect Detection on Texture using Statistical Approach |
title_short |
Defect Detection on Texture using Statistical Approach |
title_full |
Defect Detection on Texture using Statistical Approach |
title_fullStr |
Defect Detection on Texture using Statistical Approach |
title_full_unstemmed |
Defect Detection on Texture using Statistical Approach |
title_sort |
defect detection on texture using statistical approach |
publisher |
Petra Christian University |
series |
Jurnal Teknik Industri |
issn |
1411-2485 2087-7439 |
publishDate |
2015-12-01 |
description |
In this paper we present several techniques for detecting simple defect on the texture. The simple defect means, that the defect can be detected via image histogram or via wavelet of the image histogram. Hill estimator is one of the techniques that we suggest to use to solve this problem, since it does not need estimate parameters for estimating the image density |
topic |
Hill estimator kernel density estimate image histogram wavelet texture defect. |
url |
http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/19344 |
work_keys_str_mv |
AT sianahalim defectdetectionontextureusingstatisticalapproach |
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1725710724099997696 |