Crack detection 1995 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis

Abstract [en]

Computer vision is used today in a wide spectrum of industrial applications from guiding robots to inspection of machine parts. In general computer vision is used for high speed, unqualified tasks or in hostile environments and on high quality images (with high contrast and high Signal to Noise Ratio). This master thesis presents work on crack detection in noisy images whit low contrast. We present different methods for detecting cracks on rough surfaces. The methods we used are mathematical morphology and in particular gray scale morphology and neural networks.

Place, publisher, year, edition, pages

1995.

Keywords [en]

image analysis, articial neural network, crack detection

Identifiers

URN: urn:nbn:se:hh:diva-7201Local ID: U1070OAI: oai:DiVA.org:hh-7201DiVA, id: diva2:362250

Uppsok

Technology

Note

Denna uppsats kan beställas från arkivet / This paper can be ordered from the archive. Kontakta / Contact: arkivet@hh.seAvailable from: 2010-11-09 Created: 2010-11-09Bibliographically approved

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School of Business and Engineering (SET)

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