DWT-LBP Descriptors for Chest X-Ray View Classification

2Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we have attempted the problem of chest X ray Image view classification. To do this, we have applied three steps pre-processing, feature computation and classification. Image enhancement based on histogram equalization is carried out in pre-processing. For computing the features hybrid method based on Discrete Wavelet Transform and Uniform Local Binary Pattern is developed and SVM used for classification. We have got encouraging results on NIH dataset with accuracy of 98.00% using 10 fold cross validation.

Cite

CITATION STYLE

APA

Pardeshi, R., Patil, R., Ansingkar, N., Deshmukh, P. D., & Biradar, S. (2020). DWT-LBP Descriptors for Chest X-Ray View Classification. In Advances in Intelligent Systems and Computing (Vol. 1097, pp. 381–389). Springer. https://doi.org/10.1007/978-981-15-1518-7_32

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free