MMRO: A Feature Selection Criterion for MRImages Based on Alpha Stable Filter Responses

In feature-based image registration, feature selectionand reduction methods play an important role in decreasingcomputational burden of these operations. In this paper, a newapproach is introduced to reduce the dimension of extractedfeature vectors of MR images. This approach is based on theselection of the maximum and minimum responses of the alphastable filter for the MR images over the extracted features withdifferent orientation in frequency domain. This algorithm selectsthe rotation invariant features which are suitable for imageregistration purposes. It has been shown that these features couldefficiently describe the image elements. The discriminating abilityof the features selected by the proposed method is compared withMRO method and an average improvement of 175 % wasobtained based on the defined discriminating value

Keywords:

Alpha Stable Filter , Feature Extraction , Featureselection , MR Image registration