Time multiplexing is a super resolution technique that sacrifices time to overcome the resolution reduction obtained because of diffraction. In structured illumination super-resolved imaging, high resolution and time changing patterns are projected on top of an object and a set of low resolution images are captured with the low quality imaging system. The set of low resolution images are digitally decoded with decoding patterns that are based on the high resolution projected encoding patterns.
In conventional structured-illuination approaches, the projected encoding patterns need to be a priori known in order to be used in the decoding process.
In this presentation, we will describe an enhancement of structured illumination approach towards label free imaging while obtaining the super resolved result without the need of requiring the a priori knowledge on the projected encoding patterns.
This paper presents a respiratory phase prediction technique from an optical phonocardiograph (PCG) signal. The PCG acquisition was conducted using a speckle-based sensor which includes illumination of the inspected subjects by a laser beam and analyzing the temporal changes in the spatial distribution of the back scattered secondary speckle patterns. From the analysis of the 2D speckle patterns a 1D nano vibrations signal was extracted. Then, we performed an analysis of this 1D signal while relying on the PCG extracted features used in Naïve Bayes model.
The performance accuracy for the respiratory phase prediction conducted over four subjects was 83%. The high accuracy made possible thanks to 9 spatial illumination spots used in our optical sensor and using a decision algorithm involving spots' combination (while each one of the 9 spots illuminating the chest of the inspected subjects was analyzed separately).
In aerospace industry, the structure of the aircraft is assembled using small parts or a combination of them that are made
with different materials, such as for instance aluminium, titanium, composites or even 3D printed parts. The union
between these small parts is a critical point for the integrity of the aircraft. The quality of this union will decide the
fatigue of adjacent components and therefore the useful life of them. For the union process the most extended method is
the rivets, mainly because their low cost and easy manufacturing. For this purpose it is necessary to made drill holes in
the aeronautical surface to insert the rivets.
In this contribution, we present the preliminary results of a 3D inspection system [1] for drill holes analysis in
aeronautical surfaces. The system, based in optical triangulation, was developed by the Group of Optoelectronic Image
Processing from the University of Valencia in the framework of the Airbus Defence and Space (AD&S), MINERVA
project (Manufacturing industrial - means emerging from validated automation). The capabilities of the system permits
to generate a point cloud with 3D information and GD&T (geometrical dimensions and tolerances) characteristics of the
drill hole. For the inner surface defects detection, the system can generate an inner image of the drill hole with a scaled
axis to obtain the defect position. In addition, we present the analysis performed for the drills in the wing station of the
A-400 M. In this analysis the system was tested for diameters in the range of [10 – 15.96] mm, and for Carbon Fibre.
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