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

The interpretation of ultrasonic B-Scan images can be a time consuming process, its success is also very dependant on operator skill sand experience [1]. 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 has been shown to provide a means of successfully removing the background from a B-Scan image.