Research Article | OPEN ACCESS
Identification of Carotid Asymptomatic Plaque Using Texture and Orientation Features for Health Care
1D. Sasikala and 2M. Madheswaran
1Department of ECE, Vivekanandha College of Engineering for Women, Tiruchengode, India
2Department of ECE, Mahendra Engineering College, Namakkal, India
Research Journal of Applied Sciences, Engineering and Technology 2014 1:56-63
Received: February 18, 2014 | Accepted: April 09, 2014 | Published: July 05, 2014
Abstract
The carotid artery asymptomatic plaque identification has been done using the texture features at various orientation scales and presented in this study. The plaque region has been segmented using cubic spline interpolation method for multiresolution analysis using discrete wavelet transform. The features have been extracted using various scale and orientation of detail sub images using Gabor filters. It has been found from the analysis that the horizontal detail images have significantly greater values of the features than vertical detail images for symptomatic subjects. However, the horizontal detail images have shown low values compared to the vertical detail images for asymptomatic subjects. The algorithm is found to be simple and accurate for identifying the asymptomatic plaque clinically using less number of features.
Keywords:
Carotid artery, , discrete wavelet transform, Gabor transform , healthcare , plaque,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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