PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bozzi E., Cavaccini G., Chimenti M., Di Bono M. G., Salvetti O. A 2-dimensional Wavelet based approach to recognise defects in C-scan maps. In: International Conference on Pattern Recognition and Image Analysis: (St. Petersburg, 18-23 October 2004). Proceedings, vol. II pp. 627 - 630. Yuri I. Zhuravlev (ed.). St. Petersburg Electrotechnical University, 2004.
 
 
Abstract
(English)
An image processing procedure is proposed to detect porosity defects in composite materials, analyzing C-scan images obtained by ultrasound inspection techniques. An image described by a set of features is analyzed in order to evaluate its similarity with a reference set. A 2D wavelet transform is applied to the input image and then a feature extraction based on statistics of the detail images produced by the transform itself is performed. The Principal Component Analysis technique (PCA) is then applied in order to map input features into an output plane maximizing data variance. Finally the image is classified considering the distance between points in the PCA plane. This procedure is also applied for the analysis of a single image. Preliminary results on simulation images and real C-scan maps, show that the procedure is able to detect defects.
Subject 2D Discrete Wavelet Transform (2DDWT)
Image classification
Image enhancement
NDT
I.4 Image Processing and Computer Vision
I.5.3 Clustering
I.5.4 Applications


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