Presentation on theme: "Machine Vision Applications Case Study No. 1 Analysing Surface Texture."— Presentation transcript:
Machine Vision Applications Case Study No. 1 Analysing Surface Texture
Texture Often impossible to define mathematically Good and bad texture is recognisable, by its physical effect, geometry, physics (e.g. conductivity, taking stains), chemistry or visual appearance. For example: –Apple gives a pleasant biting sensation –Paint peals quickly –Measurable surface roughness We have to learn what a good texture is.
Sample images provided with QT Creased fabric, 28 Coffee beans, 4 Metal sieve, 2 Cork, 5 Cookie, 109 Machined metal surface, 103 Woven cane-work, 156 Printed text, 95
Potential Applications Cork Paint Steel (microscopic scale) Fruit (microscopic scale) Wood Paper Coated surfaces Abbrasive sheet (sand-paper) Fabrics
Example Cork - background was modified by software Local area histogram equalisation