期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2014
卷号：5
期号：3
页码：210-214
出版社：ARPN Publishers
摘要：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.
