Volume 11, Number 3 (Sep. 2015 2015)                   IJEEE 2015, 11(3): 195-203 | Back to browse issues page



DOI: 10.22068/IJEEE.11.3.195

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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

Abstract:   (1626 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.

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Type of Study: Research Paper | Subject: Image Processing
Received: 2015/04/18 | Accepted: 2015/10/20 | Published: 2015/10/20

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