Abstract—This paper presents an application of the wavelet transform for damage detection or crack detection based on digital image processing measurements. A number of important issues that need to be considered when image sequences are used for vibration analysis are discussed. These include: correspondence of image features from image to image, image calibration and spatial resolution. The principles of image edge detection are discussed and a comparison between the wavelet approach and the classical method is presented. A digital image damage detection method based on converting image to data, then filtering and converting from 2D to 3D data measured. The method is illustrated using a simple programming for matlab and Fortran for image to data and wavelet transformation model. The major advantage of the method is the significantly increased number of discrete points used to describe mode shapes. This is in contrast to classical techniques where in practice a small number of measurement points are obtained from a limited number of sensors.

Index Terms—Crack detection, Wavelet transformation

Cite: I. A. Ismail, E. A. Rakh, S. I. Zaki, M. A. Ashabrawy and M. K. Shaat, "Perceptible Grouping of Cracks in Nuclear Piping Using Wavelet Transformation," International Journal of Computer and Electrical Engineering vol. 1, no. 5, pp. 550-556, 2009.