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

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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:   (2390 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.


Full-Text [PDF 3368 kb]   (1065 Downloads)    
Type of Study: Research Paper | Subject: Image Processing
Received: 2015/04/18 | Accepted: 2015/10/20 | Published: 2015/10/20