Filtros de Resposta Máxima e Padrões Binários Locais Aplicados na Detecção de Anormalidades em Mamografias

• Danilo Fistarol UFMS
• Wesley Gonçalves UFMS

DOI: https://doi.org/10.5753/sbcas.2015.10370

Abstract

Breast cancer is a malignant tumor that develops as a result of genetic changes in a group of breast cells. In this paper we use texture analysis, one of the sub-areas of computer vision, to assist in the detection of probable breast lumps. The assumption is that the texture of lumpy regions differs from the texture of normal regions. In texture analysis, a technique that stands out is the local binary patterns (LBP). Although LBP provides good results in texture images, its performance is drastically low in mammography images. To improve the performance, this paper proposes the use of the maximum response filters and LBP for detecting abnormalities in mammograms. The proposed method achieved an accuracy of 88% compared to only 68% of LBP.

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