Title :
Detecting parabolas in ultrasound B-scan images with Genetic-Based Inverse Voting Hough Transform
Author :
Maalmi, K. ; El Ouaazizi, Aziza ; Benslimane, R. ; Voon, L. F C Lew Yan ; Diou, A. ; Gorria, P.
Author_Institution :
Laboratoire LE21, IUT Le Creusot, 12 rue de la Fonderie, 71200, France
Abstract :
In this paper we propose a Genetic-Based Inverse Voting Hough Transform (GBIVHT) method for detecting parabolic shapes iii B-scan images obtained by the ultrasonic Time Of Flight Diffraction inspection technique. These parabolic shapes are characteristics of the presence of crack defects in the engineering structure under inspection. In our method, the local peak detection problem in the parameters space of conventional Hough Transform is converted into a parameter optimization problem that operates directly on the ultrasound B-scan image. The optimization is done using the well-known Genetic Algorithms. Our main goals are an accurate detection of the parabolas while circumventing the computational complexity and huge storage problem tied to conventional Hough Transform.
Keywords :
Biological cells; Genetics; Receivers; Transforms; Crack defect; Genetic Algorithm (GA); Hough Transform; Ultrasound B-scan image;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745368