Wbmmsc: Supervised Classification Procedure of Textures Image Extraction
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Dr. Pratik Gite, Udit Gupta, Aditya Acharya|
|DOI : 10.14445/22312803/IJCTT-V47P114|
Dr. Pratik Gite, Udit Gupta, Aditya Acharya "Wbmmsc: Supervised Classification Procedure of Textures Image Extraction". International Journal of Computer Trends and Technology (IJCTT) V47(2):101-105, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
In this paper we proposed a narrative image illustration based on the inference of the multivariate Gaussian distribution of the SIFT descriptors; take out with impenetrable sampling on a spatial pyramid. Every distribution is rehabilitated to a high-dimensional descriptor, by concatenating the mean vector and the protuberance of the covariance matrix on the Euclidean space digression to the Riemannian manifold. In this research consequence illustrate promising performance. Our proposed Waveletbased multivariate models in supervised classification (WBMMSC) experiments using natural texture images divulge that the spectral histogram depiction present a robust characteristic statistic for textures and simplify well. Evaluation illustrate that our technique produce a marked enhancement in classification performance.
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SIFT, WBMMSC, Riemannian manifold , SCM , GGC.