Breast Density Classification using Local Septenary Patterns: A Multi-resolution and Multi-Topology Approach

We present an extension of our previous work in
[1] by investigating the use of Local Septenary Patterns (LSP)
for breast density classification in mammograms. The LSP
operator is a variant of Local Binary Patterns (LBP) inspired
by Local Ternary Patterns (LTP) and Local Quinary patterns
(LQP). The main extensions in our work are i) we investigate
the use of a multi-resolution technique when extracting micro
texture information, ii) we investigate different neighbourhood
topologies as different ways of extracting texture features,
and iii) we use an additional dataset called InBreast as well
as the most popular dataset in the literature, which is the
Mammographic Image Analysis Society (MIAS) to further
evaluate the performance of the LSP operator.