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Directional filter bank-based segmentation for improved evaluation of nondestructive evaluation images

โœ Scribed by Gokul Swamy; Krishnan Balasubramaniam


Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
816 KB
Volume
40
Category
Article
ISSN
0963-8695

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โœฆ Synopsis


This paper introduces a directional filter bank (DFB) for segmentation of NDE images containing directional information. The DFB is used to split an image into a desired number of sub-band images with each sub-band image containing features belonging only to a given angular range. The DFB is a two-channel decomposition employing the Quincunx sampling matrix and the diamond half band filter pair. The DFB is also designed to incorporate the property of perfect reconstruction or alias free reconstruction. Applications of the DFB towards segmenting C-scan images of fiber-reinforced composites, magnetic flux leakage (MFL) images of seamless tubes, IR images of solar cell panels and optical images for the computation of area coverage in a shot-peening process are discussed.