Texture analysis of mammogram for the detection of breast cancer using LBP and LGP: A comparison
D. Narain Ponraj, Poongodi, Merlin Mercy · 2017
Breast cancer is an life threatening disease in USA and UK. It is also one of the major diseases that has greater death rate. Cancer is the erratic growth of cells that originate in the blood tissue and Tumours may be malignant or benign. Early detection increases the chances of survival and reduces the death rate. This paper compares the approach to classify the mammogram based on the features extracted using local binary pattern (LBP) and local gradient pattern (LGP) with their histograms and the results were compared. Local binary pattern and Local gradient pattern are the techniques that are generally used for textural pattern analysis. The generated pattern is used to classify tumours using support vector machine (SVM) classifier which classifies the breast cancer.