By Duncan (Edited By); Chamberlain, Peter; Ellis, Chris Crow, Photographs
PzKpfw VI Tiger I and Tiger II (»King Tiger») (AFV guns Profile forty eight)
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1997, Abril et al. 1998). These sources describe variations in the use of the two-dimensional discrete Fourier transform (2DDFT) to separate periodic structures in the image (the fabric weave/knit pattern) from non-periodic structures in the image (the pills). The 2DDFT can only provide gross summary spatial frequency in- S. R. Palmer and X. com © Springer-Verlag Berlin Heidelberg 2007 24 S. R. Palmer and X. Wang formation about the entire image, it cannot provide location information. Fabric defects such as pills are localized in nature and cannot easily be identified directly by the Fourier transform (Chan & Pang 2000).
Selecting Relevant Features from Fabric Images 41 Fig. 2. Different steps of the classification system 2 Digitizing System OPTOCAT ® In our project, we use the system named OPTOCAT® to obtain images of the seam specimens. This system permits to perform several pre-processing steps on images of samples before the procedure of feature extraction. These steps include digitalizing, plane fitting and holes filling (for missing points). Some technical details on this system are illustrated below. 1 Structured Light Projection and Photogrametry Structured light consists of projecting light through a network of lines so as to create patterns on the object and to digitize it by a CCD camera (see Fig.
Figure 4 shows top views of different grades. The brightest pixels correspond to the highest peaks. Those 3D objects themselves result from the digitization of JIS-3D standards, since they contain relevant information about depth z, and allow the discrimination of different grades. Sometimes, it often occurs that some points are not digitized: shadow, light saturation. For solving this problem, we interpolate 2D images so as to fill holes. In general, we use a cubic interpolation, leading to efficient results.