Improved local binary patterns for classification of masses using mammography
Jun Liu, Xiaoming Liu, Jianxun Chen, Jinshan Tang · 2011
In this paper, we investigate mass classification using an improved local binary pattern operator. In the proposed classification algorithm, the improved local binary pattern operator is used to extract the features of masses and is used to determine whether the mass is benign or malignant. For classifier, support vector machine is adopted. 309 images from the DDSM database were used and the experimental results show the effectiveness of the proposed algorithm.