2 edition of Automated reduction of data from images and holograms found in the catalog.
Automated reduction of data from images and holograms
by National Aeronautics and Space Administration, Ames Research Center, For Sale by the National Technical Information Service] in Moffett Field, Calif, [Springfield, Va
Written in English
|Statement||edited by G. Lee, J.D. Trolinger, and Y.H. Yu|
|Series||NASA conference publication -- 2477|
|Contributions||Lee, G., Trolinger, Jim, Yu, Y. H, Ames Research Center|
|The Physical Object|
Dimensionality reduction is an unsupervised learning technique. Nevertheless, it can be used as a data transform pre-processing step for machine learning algorithms on classification and regression predictive modeling datasets with supervised learning algorithms. There are many dimensionality reduction algorithms to choose from and no single best algorithm for all cases. Composed of two or more primary holographic images, the hologram displays different images as you rotate the hologram or change your viewing angle. Flip-flop holograms (optional in our Level 2 hologram sticker service) are harder to copy than standard 2D/3D and dot-matrix holograms, and can be viewed under normal lighting conditions.
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Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic g in high-dimensional spaces can be undesirable for many reasons; raw data are often sparse as a consequence. Despite all Windows 10’s automatic updates, the majority of data usage on your PC probably comes from the applications you use. Windows 10 includes a new “Data Usage” tool that allows you to see exactly how much data each application on your computer has been using. This will help you track down data-hungry programs, including third-party.
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Get this from a library. Automated reduction of data from images and holograms. [George Lee, (Research scientist); Jim Trolinger; Yung H Yu; Ames Research Center.;]. Automated Reduction of Data from Images and Holograms. By James D. Trolinger, The storage capability of holograms has made this technique an even more powerful.
Over 60 researchers in the field of holography, particle sizing and image processing convened to discuss these topics. A session on image processing and automated fringe data Author: James D. Trolinger, Y. Yu and G. Lee. The data was extracted from two sequences of holograms in which (Fig. 12) and (Fig.
13) vesicles were correctly detected. The vesicles initially lay on the bottom plate and are sheared during a microgravity phase, so that only hydrodynamic interactions between themselves and with the walls are by: 9. hologram with 0 illumination and the synthesized phase image from the holograms with C, R, L, U, and D illuminations.
before and after twin-image reduction has been applied. image data in. A digital image analysis system is used for a fully automatic assessment of in line holograms of small particles.
The software developed is tested on a reference hologram for granulometry. First results of its application to a multi-exposure hologram are by: 3. Double-pulsed holograms of particles in a flow form the basis of Holographic Particle Image Velocimetry (HPIV), which is becoming widely used for the measurement of three-dimensional velocity fields.
The major deficiency of HPIV is that the double-pulsed holograms must be surveyed by a human operator, at a considerable cost in time and effort, to determine the location of objects within the. Abstract Selective reconstruction with data reduction is the key to efficient data analysis and high quality image reconstructions from digital holograms.
This paper presents an efficient method of extracting 3D regions of interest (ROIs) of object volume directly from a hologram. The holography technique and the computer data reduction methods are described. Initial results are shown and sources of error in the technique are described.
2D digital images of the hologram are computationally combined by running a backprojection algorithm to produce a 3D array that represents the space containing the bullet and fragments.
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Automated data capture involves the use of computerized technology to capture data. This method has a high initial cost on account of the initial investment required as for instance, the purchase of technology but as the project proceeds, is found to lower the operating costs significantly on account of low manpower requirement.
InPicart et al. described, from both theoretical and experimental points of view, the noise that appears in holographic images when holograms include saturation, up to 90%, due to the. Select AUTOMATIC MEASUREMENT OF 3-D DISPLACEMENTS BY USING THE SCANNING TECHNIQUE IN DOUBLE EXPOSURE HOLOGRAMS† With this technique the corrected image is obtained from a hologram that is the product of the aberrated hologram with another, where the object is substituted by a point source, compensating the aberration.
The book will be. The intrinsic properties of holograms make 3D holographic imaging the best candidate for a 3D display. The holographic display is an autostereoscopic display which provides highly realistic images with unique perspective for an arbitrary number of viewers, motion parallax both vertically and horizontally, and focusing at different depths.
The 3D content generation for this display is carried. Astrophotography Image Processing in Photoshop. Below you’ll find my deep sky astrophotography image processing workflow. This tutorial is a handy reference for those who wish to process deep sky images captured with a DSLR camera and telescope.
The hologram can be used also as a master hologram to make a transfer hologram by using the reference wave as that in the recording step for illumination of the whole area of the recorded master hologram as is shown in Figure The holographic emulsion of the second hologram is placed at the location of the reconstructed image.
To decrease the complexity of optical scheme we offer to apply a computer holography methods such as computer generated amplitude Fourier holograms (CGFH) synthesis. 14, 15). The use of RGB data from the front-facing camera in image processing priori knowledge of a transform between a well manually registered hologram and the phantom allowed for the consistent automatic manual registration of the hologram to its phantom target when using Vuforia.
our results represent a 45% reduction in mean time and a The method to be de- scribed in this paper is a significant improvement over the earlier methods which utilized carrier fringes. It lends itself very well to new and developing computer-based automatic data reduction systems.
THE METHOD The experimental set-up for recording is shown in Fig. A double exposure hologram is recorded as follows. Of interest to obtaining size distributions and number densities of particles in holograms is an algorithm that (1) can find and characterize both small and very large particles in digital holograms, (2) can do it within a well-defined sample volume with uniform detectability and (3) is able to run in an automated fashion for thousands of.
Automatic identification and data capture (AIDC) refers to the methods of automatically identifying objects, collecting data about them, and entering them directly into computer systems, without human involvement. Technologies typically considered as part of AIDC include QR codes, bar codes, radio frequency identification (RFID), biometrics (like iris and facial recognition system), magnetic.
If a message screen is formed from hologram dots, where the hologram is a reflective Bragg hologram designed to reflect only light of a particular color (say, green), incident perpendicular to the surface, then by placing a color filter over the image sensor at positionthe decoder/viewer will be suitable for detecting both holographic dot.An inline holographic system suitable for long-wavelength holography is studied by computer simulation.
A digital processing technique for the reduction of the interfering outputs in the reconstructed image is given. Results arc compared with those obtained from direct phase and amplitude recording.concerning the data acquisition system’s multiplexing and signal conditioning circuits, and analog-to-digital converters.
These three functions establish the overall accuracy, reso-lution, speed, and sensitivity of data acquisi-tion systems and determine how well the systems perform.