Implementation of MAD and Mean Absolute Deviation based Smoothing Algorithm for Displacement Data in Digital Image Correlation Technique

Paul, K J and Harilal, R and M, Ramji (2014) Implementation of MAD and Mean Absolute Deviation based Smoothing Algorithm for Displacement Data in Digital Image Correlation Technique. In: 9th International Symposium on Advanced Science and Technology in Experimental Mechanics, 1-6 November, 2014, New Delhi, India.

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Abstract

This study aims at obtaining smoothed strain fields from digital image correlation technique (DIC), by smoothing the displacement fields prior to strain computation. Both median absolute deviation (MAD) and mean absolute deviation based smoothing algorithms are implemented for data smoothing. On implementation of these algorithms, the noise levels in the strain fields are found to be reduced to a greater extent. For executing the whole field smoothing algorithm, an accurate boundary encoding algorithm is also developed.

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IITH Creators:

IITH Creators	ORCiD
M, Ramji	UNSPECIFIED

Item Type:

Conference or Workshop Item (Paper)

Additional Information:

The authors are thankful to the members of Engineering Optics Lab and Central Workshop at IIT Hyderabad for providing support for conducting the experiments. The authors are also thankful to Sumit Jadhav, graduate student at IIT Hyderabad for his valuable guidance in programming smoothing algorithms.

Uncontrolled Keywords:

Digital Image Correlation, Mean Absolute Deviation, Median Absolute Deviation, Noise, Smoothing.

Subjects:

?? sub4.9 ??

Divisions:

Department of Physics

Depositing User:

Team Library

Date Deposited:

08 Jun 2015 10:39

Last Modified:

24 Sep 2015 06:42