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Classification of Textures Using Filter Based Local Feature Extraction
2016
MATEC Web of Conferences
In this work local features are used in feature extraction process in image processing for textures. The local binary pattern feature extraction method from textures are introduced. Filtering is also used during the feature extraction process for getting discriminative features. To show the effectiveness of the algorithm before the extraction process, three different noise are added to both train and test images. Wiener filter and median filter are used to remove the noise from images. We
doi:10.1051/matecconf/20167503001
fatcat:4vk6j4zofvga7nq7sp6logask4