Image processing of edge and surface defects: theoretical basis of adaptive algorithms with numerous practical applications

The edge and surface inspection is one of the most important and most challenging tasks in quality assessment in industrial production. Typical defects arecracks, 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 ona 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. Detailed description of optical methods for defect recognition Integrates the basics of the methods and their applications Provides a reference for researchers and engineers INDICE: Introduction.- Edge detection.- Defect recognition on an edge.- Defect Recognition on an inhomogenious high-contrast surface.- Defect Recognition on an inhomogenious structured surface.- Grading, optimizing, winning!- A turbo-method of defect recognition.- Before an image processing system comes to use.

• ISBN: 978-3-642-00682-1
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 210
• Fecha Publicación: 01/05/2009
• Nº Volúmenes: 1
• Idioma: Inglés