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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Unhealthy Detection in Livestock Texture Images using Subsampled Contourlet Transform and SVM

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Author Reza Javidan, Ali Reza Mollaei
ISSN 2079-8407
On Pages 210-214
Volume No. 5
Issue No. 3
Issue Date April 1, 2014
Publishing Date April 1, 2014
Keywords Livestock, Texture, Image, Unhealthy, liver, Contourlet, SVM


Abstract

In this paper a new split and merge algorithm based on Contourlet transform and Support Vector Machine (SVM) is presented for automatic segmentation and classification of unhealthy in Livestock Texture Images. We focused on the liver textural images of livestock to verify if there is any unhealthy on its textural image. The Contourlet transform is used because it allows analysis of images with various resolution levels and directions. It effectively captures smooth contours that are dominant features in textural images. In addition, we have used SVM classifier to classify the texture features. The proposed method provides a fast algorithm with enough accuracy that can be implemented in a parallel structure for real-time processing. The simulation results show the effectiveness of the new proposed algorithm.
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