شماره ركورد كنفرانس :
4155
عنوان مقاله :
Using Machine Learning to Estimate Some Anisotropy Indices, Application to Brownian Textures and Breast Images
پديدآورندگان :
Moallemian Soodeh smoallemian@gmail.com Neuroimaging and Analysis Group of Tehran , Yari GholamHossein yari@iust.ac.ir Iran University of Science and Technology of Tehran , Najibi Seyyed Morteza mnajibi@shirazu.ac.ir Shiraz University
كليدواژه :
Texture Analysis , Machine Learning , Anisotropy , Breast Cancer , Fractional Brownian Fields , Lesion Detection.
عنوان كنفرانس :
اولين همايش ملي روشهاي مدرن در قيمت گذاري هاي بيمه اي و آمارهاي صنعتي
چكيده فارسي :
In this paper, we analyze image textures with help of anisotropic fractional Brownian fields. We also use some anisotropy indices characterizing the anisotropy of these textures. Multi-oriented quadratic variations form the basis of mentioned indices. Anisotropy indices are invariant to some image transforms. Furthermore they can be estimated from the observed data. An application of these indices, combining with a measure of texture roughness, is in lesion detection in mammograms.
