Volume 11, Issue 3 (September 2015)                   IJEEE 2015, 11(3): 195-203 | Back to browse issues page

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Shakoor M H, Tajeripour F. Circular Mean Filtering For Textures Noise Reduction. IJEEE 2015; 11 (3) :195-203
URL: http://ijeee.iust.ac.ir/article-1-782-en.html
Circular Mean Filtering For Textures Noise Reduction
M. H Shakoor , F. Tajeripour
Abstract:   (6245 Views)

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.

AWT IMAGE

Keywords: Circular Mean Filter , Local Binary Pattern , Noise Robust , Texture Classification
Full-Text [PDF 3368 kb]   (2262 Downloads)    
Type of Study: Research Paper | Subject: Image Processing
Received: 2015/04/18 | Revised: 2016/04/24 | Accepted: 2015/10/20
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.