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Fabric Defect Detection by the Method of Bollinger Band

Published on April 2015 by Jyoti Nikam, M. S. Biradar, K. B. Bhangale
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National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 1
April 2015
Authors: Jyoti Nikam, M. S. Biradar, K. B. Bhangale
3981b360-19a1-42e8-b4da-46f55d8fe4c1

Jyoti Nikam, M. S. Biradar, K. B. Bhangale . Fabric Defect Detection by the Method of Bollinger Band. National conference on Digital Image and Signal Processing. DISP2015, 1 (April 2015), 32-35.

@article{
author = { Jyoti Nikam, M. S. Biradar, K. B. Bhangale },
title = { Fabric Defect Detection by the Method of Bollinger Band },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 1 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 32-35 },
numpages = 4,
url = { /proceedings/disp2015/number1/20481-3011/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A Jyoti Nikam
%A M. S. Biradar
%A K. B. Bhangale
%T Fabric Defect Detection by the Method of Bollinger Band
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 1
%P 32-35
%D 2015
%I International Journal of Computer Applications
Abstract

Regularity is one of the main features for many Patterned texture material inspection. This paper shows the new approach called Bollinger Band (BB) method. Bollinger Band method originally used for financial technical analysis, based on Moving average and standard deviation. It was originally extended from 1-D approach to 2-D approach for jacquard fabric inspection. The BB Method is shift invariant across patterned texture material and its mathematical definition was simple. Bollinger Band method based on the idea of periodicity.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bollinger Band Defect Detection Histogram Equalization Moving Average Standard Deviation.