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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Main Author: Siana Halim
Format: Article
Language:English
Published: Petra Christian University 2015-12-01
Series:Jurnal Teknik Industri
Subjects:
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/19344
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spelling 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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