Title :
Defective Target Detection by Ultrasonic Image Using Multifractal Geometry
Author_Institution :
Guangdong Agric.-Ind.-Bus. Polytech. Coll., Guangzhou
Abstract :
In ultrasonic imaging system, the system to distinguish objects from measurements of their pulse backscatter signals is a topic of considerable investigation. Current nondestructive detection, it encounter difficulty in identifying small pieces of defect, these targets hard to recognize because targets signal have to compete with other clutter signals. Therefore to improve the performance of image for applying multifractal geometry, we must first gain a understanding of the characteristics of image clutters.
Keywords :
backscatter; clutter; fractals; ultrasonic imaging; clutter signals; defective target detection; image clutters; multifractal geometry; nondestructive detection; pulse backscatter signals; ultrasonic image; ultrasonic imaging system; Backscatter; Fractals; Geometry; Object detection; Performance gain; Pulse measurements; Signal processing; Target recognition; Ultrasonic imaging; Ultrasonic variables measurement; defective target; multifractal; return; ultrasonic image;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350785
