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A machine learning based discrimination modality has been proposed for non stationary signal analysis to be used for sub surface characterization. This proposed modality improves the testability, reliability and present best detection in terms of quantified characteristics pertaining to anomalies. In this paper the region based active contour segmentation along with artificial neural network (ANN) has been employed to facilitate the practitioner in assessing the quality of the test body. Thedoi:10.30534/ijeter/2019/197112019 fatcat:aqffwuwtkzco3jcpthhoy5b3wy