Clustered Micro Calcification Detection Based on the Texture Feature Extraction Using Adaptive Bilateral Filter of Mathematical Morphology

Abstract

A morphological adaptive bilateral filter based scheme has been proposed for textures segmentation of small field digital mammograms. Mathematical morphology offers flexible operations for extraction of micro calcifications. Unlike the traditional texture fllters, adaptive bilateral filter Is opp/led to remove the noise and Improve the quallty of the selection of the different texture regions. The proposed method uses an adaptive threshold selection, which can remove unwanted textures region from Image. The texture regions extract the features of micro calcification and noise boundaries are smoothing again by adaptive bilateral filter. Segmentation results are displayed by inclusion of textures with Input Image. The proposed method Is experimented on 10 micro calclflcatlon Images and the quality of the method is evaluated.