A comparative study of the impulsive noise reduction algorithms in ultrasonic B-scans

As the technology becomes cheaper and industries are conscious of the quality control importance, ultrasonic inspection becomes more popular. However, automatic inspection systems instead of manual ones should be designed if a successful implantation is desired. Signal processing algorithms play an important role on the designing of these systems. Unfriendly environment found in production lines cause that these systems should make intensive use of noise reduction algorithms. This work deals with studying the best algorithm for impulsive noise reduction in an industrial environment. A review of the typical impulsive noise reduction systems is done and particularized for the described situation. Finally, computational aspects are analyzed and some solutions are proposed.