Published in

Elsevier, Procedia CIRP, (8), p. 432-437, 2013

DOI: 10.1016/j.procir.2013.06.129

Links

Tools

Export citation

Search in Google Scholar

Image Denoising and Quality Inspection of Micro Components Using Perona-Malik Diffusion

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

The production of micro components has received much attention on the last years and has recently become one of the crucial tasks of product and processes oriented research. During the production of very small parts, many unanticipated manufacturing errors such as cracks, wrinkles and form deviations may occur. In order to minimize these defects (flaws) and simultaneously achieve an economically efficient production of micro parts the suitable methods for quality inspection are required. This paper focuses micro-components manufactured by means of micro-cold forming techniques. The new methods for error detection in micro components are proposed. The quality of presented approach will be demonstrated in numerical examples.