Professor RICHARD LEACH's Outputs (3)

Model-based defect detection on structured surfaces having optically unresolved features (2015)
Journal Article
O’Connor, D., Henning, A. J., Sherlock, B., Leach, R., Coupland, J., & Giusca, C. L. (2015). Model-based defect detection on structured surfaces having optically unresolved features. Journal of Optics A: Pure and Applied Optics, 54(30), 8872-8877. https://doi.org/10.1364/AO.54.008872

In this paper, we demonstrate, both numerically and experimentally, a method for the detection of defects on structured surfaces having optically unresolved features. The method makes use of synthetic reference data generated by an observational mode... Read More about Model-based defect detection on structured surfaces having optically unresolved features.

Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions forextracting individual surface features from areal surface topography maps (2015)
Journal Article
Senin, N., Leach, R., Pini, S., & Blunt, L. A. (2015). Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions forextracting individual surface features from areal surface topography maps. Measurement Science and Technology, 26(9), Article 095405. https://doi.org/10.1088/0957-0233/26/9/095405

Surface texture measurement for additive manufacturing (2015)
Journal Article
Triantaphyllou, A., Leach, R., Giusca, C. L., Macaulay, G. D., Roerig, F., Hoebel, M., Tomita, B., & Milne, K. A. (2015). Surface texture measurement for additive manufacturing. Measurement Science and Technology, 3, Article 024002. https://doi.org/10.1088/2051-672X/3/2/024002

The surface texture of additively manufactured metallic surfaces made by powder bed methods is affected by a number of factors, including the powder's particle size distribution, the effect of the heat source, the thickness of the printed layers, the... Read More about Surface texture measurement for additive manufacturing.