Automation of Image Processing for Nano-beam Diffraction Measurements

Optical diffraction for measurements of nano-mechanical bending

We explore and exploit diffraction effects that have been previously neglected when modelling optical measurement techniques for the bending of micro-mechanical transducers such as cantilevers for atomic force microscopy. The illumination of a cantilever edge causes an asymmetric diffraction pattern at the photo-detector affecting the calibration of the measured signal in the popular optical be...

Simulation of cake formation for nano-fibrous filter media using image processing

Processing Digital Image for Measurement of Crack Dimensions in Concrete

The elements of the concrete structure are most frequently affected by cracking. Crack detection is essential to ensure safety and performance during its service life. Cracks do not have a regular shape, in order to achieve the exact dimensions of the crack; the general mathematical formulae are by no means applicable. The authors have proposed a new method which aims to measure the crack dimen...

Triplet-phase measurements using reference-beam X-ray diffraction.

Reference-beam diffraction (RBD) is a recently developed phase-sensitive X-ray diffraction technique that incorporates the principle of multiple-beam diffraction into the standard oscillating-crystal data-collection method [Shen (1998). Phys. Rev. Lett. 80, 3268-3271]. Using this technique, a large number of multiple-beam interference profiles can be recorded simultaneously on an area detector,...

A 3D image processing method for manufacturing process automation

Three-dimensional (3D) image processing provides a useful tool for machine vision applications. Typically a 3D vision system is divided into data acquisition, low-level processing, object representation and matching. In this paper, a 3D object pose estimation method is developed for an automated manufacturing assembly process. The experimental results show that the 3D pose estimation method pro...