A Survey of Different Types of Characterization Technique In Ultra Sonograms of the Thyroid Nodules

Thyroid is one of the endocrine Gland. Thyroid can be classified into normal, nodule and cancers thyroid. The characterization of the thyroid tissue in digital image processing techniques offer’s the texture description and using the ultrasound images. In this paper describe the various type of feature extraction techniques characterization and classification method. The texture characterization in medical images plays an important role as it helps into characterized the type of images, directions and extracting the features. This survey focuses on three types of characterization technique and methods that classify the thyroid nodule medical imaging. Result shows that comparatively analysis of these characterization techniques Keywords-Texture feature; Thyroid nodule; gray level co-occurrence matrix(GLCM); CBIR; SVM classifier; LBP; KNN classifier; K-Mean classifier ; Radon domain.