Thyroid image classification algorithm using DT CWT
Stella Vetova · AIP conference proceedings · 2019
The following paper presents an algorithm for thyroid image classification. To design it we used the Dual-Tree Complex Wavelet Transform for image feature extraction and Hausdorff distance to compute similarity distance between the feature vector of the query-image and all the image feature vectors stored in the image database. Then, we performed experiments to estimate the effectiveness of the proposed algorithm which showed high values of precision.