Diagnose the Thyroid Using Texture Characterization and Classification
نویسنده
چکیده
This paper starts with the local textural information of ultrasound thyroid images. The recent feature extraction methods are presented with the different application areas. The basic objective of this study is to identify and represent the performance of a novel approach for texture characterization of thyroid ultrasound images. The method proposed here should reduce the uncertainty produced by the speckle noise in the thyroid images. The Local Binary Pattern (LBP) is extended in the form of fuzzy logic, which allows a Fuzzy Local Binary Pattern (FLBP) helps to improve the performance of thyroid ultrasound images. The training set and testing set are generated from the set of B-scan ultrasound thyroid images in the ratio 80% and 20% respectively. The classification results obtained with the LBP and FLBP are compared with the Gray Level Co-occurrence matrix (GLCM) features using various classifiers. Keywords— Classification, Texture Characterization, LBP, FLBP, Medical Imaging
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