Fourier Transform Profilometry (FTP) is one of the most popular fringe analysis methods in Optical Metrology for a wealth of applications in Mechanical Engineering, such as shape profilometry or defect detection with shearography or holographic interferometry methods. Gradient range and spatial resolution in the FTP method depend on the size of the filter window in reciprocal space. The authors have previously reported on a method that uses a single crossed fringe pattern for the elimination of the fundamental frequency and enlargement of the carrier window, which is therefore inherently able to cope with dynamic situations. This article describes an improved version of the technique that no longer resources to bit-shifting operations, greatly improving the flexibility of the previously reported technique, whilst retaining its main advantages.
The use of implants to rehabilitation of total edentulous, partial edentulous or single tooth is increasing, it is due to the
high rate of success that this type of treatment present. The objective of this study was to analyze the mechanical
behavior of different positions of two dental implants in a rehabilitation of 4 teeth in the region of maxilla anterior. The
groups studied were divided according the positioning of the implants. The Group 1: Internal Hexagonal implant in
position of lateral incisors and pontic in region of central incisors; Group 2: Internal Hexagonal implant in position of
central incisors and cantilever of the lateral incisors and Group3 - : Internal Hexagonal implants alternate with suspended
elements. The Electronic Speckle Pattern Interferometry (ESPI) technique was selected for the mechanical evaluation of
the 3 groups performance. The results are shown in interferometric phase maps representing the displacement field of the
prosthetic structure.
Feature detectors have long been one of the touchstones of image processing. Most vision tasks are entirely dependent on the accurate determination of fiducial marks on images, which ultimately led to a quest for methods able to detect feature locations with high resolution. We report the development of an intensity-based subpixel corner detector based on the two-dimensional (2-D) Hilbert transform. Extensive testing of both accuracy and precision with live images finds the method adequate for subpixel detection at better than 10−1 pixel accuracy. The subpixel corner detectors and the evaluation proposals to date are briefly reviewed, and the proposed method is described. The results are shown and discussed.
Active image processing full field methods for 3D contactless profilometry are amongst the current methods of choice
for obtaining point clouds from object surfaces. The fringe projection system plays a decisive role on the entire process,
significantly impacting both quality and reliability of the final measurements. Moreover, most every phase measurement
profilometer can only be used under laboratory controlled lighting environments. This note describes the ongoing LOME
project for a coherent fringe projection system which will enable outdoor measurements by selectively band pass
filtering the projected wavelength.
Future High Energy Physics experiments require the use of light and stable structures to support their most precise radiation detection elements. These large structures must be light, highly stable, stiff and radiation tolerant in an environment where external vibrations, high radiation levels, material aging, temperature and humidity gradients are not negligible. Unforeseen factors and the unknown result of the coupling of environmental conditions, together with external vibrations, may affect the position stability of the detectors and their support structures compromising their physics performance. Careful optimization of static and dynamic behavior must be an essential part of the engineering design. Genetic Algorithms (GA) belong to the group of probabilistic algorithms, combining elements of direct and stochastic search. They are more robust than existing directed search methods with the advantage of maintaining a population of potential solutions. There is a class of optimization problems for which Genetic Algorithms can be effectively applied. Among them are the ones related to shape control and optimal placement of sensors/actuators for active control of vibrations. In this paper these two problems are addressed and numerically investigated. The finite element method is used for the analysis of the dynamic characteristics. For the case of the optimal placement of sensors/actuators a performance index, proportional to the damping of the system in closed- loop, is used. Genetic algorithms prove their efficiency in this kind of optimization problems.
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