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.
CITATION STYLE
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
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