bullet Sensors & Transducers Journal

    (ISSN 1726-5479)


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 161, Issue 12, December 2013, pp. 21-26




New Weighted Mean Filtering Algorithm for Surface Image Based on Grey Entropy
Gang LI

School of Science, Hubei University of Technology, Wuhan, 430068, China
Tel.: +86-27-59750595


Received: 19 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: In the process of automatic detection for the road cracks, the traditional algorithms can not always get satisfactory results. This article applied the grey entropy of the grey system theory into the surface image preprocessing and segmentation, and offers a new more effective way for the road image denoising. With the presence of the noise in the surface image, we use the grey entropy value of each pixel in the neighborhood and their median value as the weight coefficient of each pixel, and find the weighted average value of the neighborhood window to replace the centre pixel of the neighborhood in order to achieve the noise filtering. Simulation results show that the method is superior to the traditional mean filtering, grey weighted average filter algorithm, and lay a good foundation for further processing of pavement crack.


Keywords: Image filtering, Grey entropy, Grey system theory


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Download <here> the Library Journal Recommendation Form



Read more about Wireless Sensor Networks






1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn