Circular Mean Filtering For Textures Noise Reduction

In this paper, a special preprocessing operations (filter) is proposed to decrease the effects of noise of textures. This filter using average of circular neighbor points (Cmean) to reduce noise effect. Comparing this filter with other average filters such as square mean filter and square median fil...

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Main Authors: M. H Shakoor, F. Tajeripour
Format: Article
Language:English
Published: Iran University of Science and Technology 2015-09-01
Series:Iranian Journal of Electrical and Electronic Engineering
Subjects:
Online Access:http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1486-1&slc_lang=en&sid=1
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author M. H Shakoor
F. Tajeripour
author_facet M. H Shakoor
F. Tajeripour
author_sort M. H Shakoor
collection DOAJ
description In this paper, a special preprocessing operations (filter) is proposed to decrease the effects of noise of textures. This filter using average of circular neighbor points (Cmean) to reduce noise effect. Comparing this filter with other average filters such as square mean filter and square median filter indicates that it provides more noise reduction and increases the classification accuracy. After applying filter to noisy textures some Local Binary Pattern (LBP) variants are used for feature extraction. The Implementation part for noisy textures of Outex, UIUC and CUReT datasets shows that using proposed filter increases the classification accuracy significantly. Furthermore, a simple and new technique is proposed that increases the speed of c-mean filter noticeably.
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spelling doaj.art-8c3ca773aec94ff6be41c496353798242022-12-22T03:41:33ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902015-09-01113195203Circular Mean Filtering For Textures Noise ReductionM. H Shakoor0F. Tajeripour1 Shiraz Univercity Shiraz Univercity In this paper, a special preprocessing operations (filter) is proposed to decrease the effects of noise of textures. This filter using average of circular neighbor points (Cmean) to reduce noise effect. Comparing this filter with other average filters such as square mean filter and square median filter indicates that it provides more noise reduction and increases the classification accuracy. After applying filter to noisy textures some Local Binary Pattern (LBP) variants are used for feature extraction. The Implementation part for noisy textures of Outex, UIUC and CUReT datasets shows that using proposed filter increases the classification accuracy significantly. Furthermore, a simple and new technique is proposed that increases the speed of c-mean filter noticeably.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1486-1&slc_lang=en&sid=1Circular Mean Filter Local Binary Pattern Noise Robust Texture Classification.
spellingShingle M. H Shakoor
F. Tajeripour
Circular Mean Filtering For Textures Noise Reduction
Iranian Journal of Electrical and Electronic Engineering
Circular Mean Filter
Local Binary Pattern
Noise Robust
Texture Classification.
title Circular Mean Filtering For Textures Noise Reduction
title_full Circular Mean Filtering For Textures Noise Reduction
title_fullStr Circular Mean Filtering For Textures Noise Reduction
title_full_unstemmed Circular Mean Filtering For Textures Noise Reduction
title_short Circular Mean Filtering For Textures Noise Reduction
title_sort circular mean filtering for textures noise reduction
topic Circular Mean Filter
Local Binary Pattern
Noise Robust
Texture Classification.
url http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1486-1&slc_lang=en&sid=1
work_keys_str_mv AT mhshakoor circularmeanfilteringfortexturesnoisereduction
AT ftajeripour circularmeanfilteringfortexturesnoisereduction