Background noise removal in ultrasonic B‐scan images using iterative statistical techniques

Abstract

The interpretation of ultrasonic B-scan images can be a time-consuming process and its success depends on operator skills and experience. Removal of the image background will potentially improve its quality and hence improve operator diagnosis. An automatic background noise removal algorithm is proposed, enabling the highlighting of defects and aiding the operator in the location and sizing of any anomalies. The method provides a means to successfully remove the background from a B-scan image.