Defect Recognition Algorithm in Ultrasonic Phased Array Image

Ultrasound phased array image process and analysis of the defect still relies on the human eye observation and artificial identification. A scheme for automatically processing and analyzing ultrasonic phased array defective images was proposed. The process is composed of preprocessing, image filtering, feature extraction and multi target defect tracking. By analyzing the relevant parameters of the target defect trajectory and combining the area of the target defect, it is determined whether the targeted one is a real defect. The accuracy of the algorithm and program is determined by the test of metal aluminum specimen with holes,and good effect of defect tracking and recognition is obtained.