AN APPROACH FOR STATISTICAL TEXTURE DESCRIPTION
Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.6, No. 6)Publication Date: 2017-07-14
Authors : K.Sharath Kumar; Dr.M.Rama Bai; Mrs.J.Sree Devi;
Page : 327-331
Keywords : However; for a specific gray level; the increasing image size showed significant effect on the classification accuracy.;
Abstract
ABSTRACT The Texture Analysis method, called “X-Matrix” method used to differentiate the image based on the textures. The Classification accuracy of the method was evaluated using statistical method. The features extracted from this method provide complete texture information about an image and it showed excellent performance in discriminating texture images. In this work, the performance of the above method has been tested on six different images and gray levels. Some of VisTex natural texture images have been used for evaluating the performance of the features in the characterization and discrimination of the texture aspects of image. The classification accuracy of the method was evaluated using the statistical method. It was observed that the method is more sensitive to the image size than the gray level. For a specific image size, with increase in gray level the classification accuracies decrease largely. Based on this method we can easily classify the images. Promising results are obtained and presented in this paper.
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Last modified: 2017-07-22 22:53:37