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Books > Professional & Technical > Mechanical engineering & materials > Materials science > Testing of materials
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Image Processing of Edge and Surface Defects - Theoretical Basis of Adaptive Algorithms with Numerous Practical Applications (Hardcover, 2009 ed.)
Loot Price: R2,451
Discovery Miles 24 510
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Image Processing of Edge and Surface Defects - Theoretical Basis of Adaptive Algorithms with Numerous Practical Applications (Hardcover, 2009 ed.)
Series: Springer Series in Materials Science, 123
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The edge and surface inspection is one of the most important and
most challenging tasks in quality assessment in industrial
production. Typical defects are cracks, inclusions, pores, surface
flakings, partial or complete tears of material surface and s.o.
These defects can occur through defective source material or
through extreme strain during machining process. Detection of
defects on a materialc surface can be complicated due to extremely
varying degrees of material brightness or due to shadow areas,
caused by the folding of the surface. Furthermore, impurities or
surface discolourations can lead to artefacts that can be detected
as pseudo-defects. The brightness conditions on the edge of
material defects are interpreted as a Gauss distribution of a
radiation and used for a physical model. Basing on this model, an
essentially new set of adaptive edge-based algorithms was
developed. Using these methods, different types of defects can be
detected, without the measurements being dependent on local or
global brightness conditions of the image taken. The new adaptive
edge-based algorithms allow a defect detection on different
materials, like metal, ceramics, plastics and stone. These methods
make it possible to explicitly detect all kinds of different
defects independently of their size, form and position and of the
surface to be inspected. The adaptive edge-based methods provide a
very wide spectrum of applications.
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