Four novel approaches for detection of region of interest in mammograms — A comparative study

Abstract

Four Novel approaches used for detection of Region of Interest in Mammographie images has been described in detail. This paper also details the comparative study of the four approaches based on database and Real time images. In Approach I a hybrid combination of techniques was used for detection of Region of Interest (ROI). In Approach II a modified approach of watershed segmentation was used. In Approach III an advanced levelset approach was used for detection of ROI. In Approach IV, which is considered to be the most efficient approach, a very novel algorithm was developed for detection of Region Of Interest. Approaches I and II were applicable for Mammographic Image Analysis Society (MIAS) database images alone. Approaches III and IV were applicable for both MIAS and Real time hospital images. This paper also projects a comparative study on the performance of all the four approaches using various parameters.