An integral design strategy combining optical system and image processing to obtain high resolution images

2016 ◽  
Author(s):  
Jiaoyang Wang ◽  
Lin Wang ◽  
Ying Yang ◽  
Rui Gong ◽  
Xiaopeng Shao ◽  
...  
Keyword(s):  
Image Processing ◽  
High Resolution ◽  
Optical System ◽  
Design Strategy ◽  
High Resolution Images

Photogrammetric Investigation of the Flying Shape of Spinnakers in a Twisted Flow Wind Tunnel

2009 ◽  
Author(s):  
Kai Graf ◽  
Olaf Müller
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
High Resolution ◽  
Wind Tunnel ◽  
Wind Velocity ◽  
Digital Cameras ◽  
Pattern Recognition Methods ◽  
Twisted Flow ◽  
High Resolution Images ◽  
The Impact

This paper describes a method for the acquisition of the flying shape of spinnakers in a twisted flow wind tunnel. The method is based on photogrammetry. A set of digital cameras is used to obtain high resolution images of the spinnaker from different viewing angles. The images are post-processed using image-processing tools, pattern recognition methods and finally the photogrammetry algorithm. Results are shown comparing design versus flying shape of the spinnaker and the impact of wind velocity and wind twist on the flying shape. Finally some common rules for optimum spinnaker trimming are investigated and examined.

A new automatic and interactive tree ring measurement system based on a line scan camera

1992 ◽  
Vol 68 (1) ◽  
pp. 138-141 ◽  
Author(s):  
Régent Guay ◽  
Réjean Gagnon ◽  
Hubert Morin
Keyword(s):  
Image Processing ◽  
High Resolution ◽  
Tree Ring ◽  
Measurement System ◽  
Analysis Techniques ◽  
Image Processing And Analysis ◽  
Line Scan ◽  
Computerized Image Processing ◽  
On Line ◽  
High Resolution Images

A new automatic tree ring measurement system which uses computerized image processing and analysis techniques is presented. It is based on a line scan camera instead of a conventional TV camera so it can give high resolution images over long paths (many centimeters). On-line ring validation is possible by comparison with those on other radii. Also, the system is highly interactive so its decisions can be modified by the operator.

Processing of high-resolution images of irradiated ceramics

1993 ◽  
Vol 51 ◽  
pp. 210-211
Author(s):  
M.E. Lewis ◽  
L.C. Qin ◽  
A.N. Sreeram ◽  
L.W. Hobbs
Keyword(s):  
Image Processing ◽  
High Resolution ◽  
Mathematical Morphology ◽  
Underlying Structure ◽  
Scale Morphology ◽  
Ordered Structures ◽  
Image Processing And Analysis ◽  
High Resolution Images ◽  
Lead Pyrophosphate ◽  
The Relationship

Mathematical morphology as an image processing and analysis tools is both a science and an art. The theory of mathematical morphology is rooted in topology, where a set-theoretic framework is the basis of binary morphology. Gray-scale morphology is an extension into the space of functions. This rigorous formulation has provided powerful transformations, operating directly on the information content of an image. However, it is up to the investigator’s creativity to devise the appropriate criteria for each problem at hand.The main focus of the present study is the analysis of image contrast and the relationship with the underlying structure of the material. Image processing and analysis methods based on mathematical morphology were applied to high resolution micrographs of irradiated ceramics: electronirradiated tridymite and ion-irradiated lead pyrophosphate single crystal.The interesting feature of these images is the presence of periodic, aperiodic and partially ordered structures, Fig.s la and 2a.

scholarly journals AN EFFICIENT METHOD TO FEED HIGH RESOLUTION IMAGES TO FACIAL ANALYSIS SYSTEMS

2013 ◽  
pp. 68-71
Author(s):  
ROOPA R ◽  
MRS. VANI.K. S ◽  
MRS. NAGAVENI. V
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
High Resolution ◽  
Super Resolution ◽  
Poor Quality ◽  
Low Resolution ◽  
Resolution Method ◽  
Facial Analysis ◽  
Face Images ◽  
High Resolution Images

Image Processing is any form of signal processing for which the image is an input such as a photograph or video frame. The output of image processing may be either an image or a set of characteristics or parameters related to the image. In many facial analysis systems like Face Recognition face is used as an important biometric. Facial analysis systems need High Resolution images for their processing. The video obtained from inexpensive surveillance cameras are of poor quality. Processing of poor quality images leads to unexpected results. To detect face images from a video captured by inexpensive surveillance cameras, we will use AdaBoost algorithm. If we feed those detected face images having low resolution and low quality to face recognition systems they will produce some unstable and erroneous results. Because these systems have problem working with low resolution images. Hence we need a method to bridge the gap between on one hand low- resolution and low-quality images and on the other hand facial analysis systems. Our approach is to use a Reconstruction Based Super Resolution method. In Reconstruction Based Super Resolution method we will generate a face-log containing images of similar frontal faces of the highest possible quality using head pose estimation technique. Then, we use a Learning Based Super-Resolution algorithm applied to the result of the reconstruction-based part to improve the quality by another factor of two. Hence the total system quality factor will be improved by four.

scholarly journals Super-resolution for everybody: An image processing workflow to obtain high-resolution images with a standard confocal microscope

Methods ◽  
2017 ◽  
Vol 115 ◽  
pp. 17-27 ◽  
Author(s):  
France Lam ◽  
Damien Cladière ◽  
Cyndélia Guillaume ◽  
Katja Wassmann ◽  
Susanne Bolte
Keyword(s):  
Image Processing ◽  
High Resolution ◽  
Super Resolution ◽  
Confocal Microscope ◽  
High Resolution Images

FeXIV Line Emission Polarization of the July 11, 1991 Solar Corona

1994 ◽  
Vol 144 ◽  
pp. 541-547
Author(s):  
J. Sýkora ◽  
J. Rybák ◽  
P. Ambrož
Keyword(s):  
High Resolution ◽  
Solar Corona ◽  
Emission Line ◽  
Solar Eclipse ◽  
White Light ◽  
Preliminary Analysis ◽  
Line Emission ◽  
Total Solar Eclipse ◽  
Degree Of Polarization ◽  
High Resolution Images

AbstractHigh resolution images, obtained during July 11, 1991 total solar eclipse, allowed us to estimate the degree of solar corona polarization in the light of FeXIV 530.3 nm emission line and in the white light, as well. Very preliminary analysis reveals remarkable differences in the degree of polarization for both sets of data, particularly as for level of polarization and its distribution around the Sun’s limb.

Remarks on the application of backscattered electron imaging (BEI) to the scanning electron microscopy (SEM) of biological structures

1983 ◽  
Vol 41 ◽  
pp. 484-487
Author(s):  
Etienne de Harven
Keyword(s):  
High Resolution ◽  
Incident Beam ◽  
Spot Size ◽  
Primary Electron ◽  
Critical Point Drying ◽  
Cell Shapes ◽  
High Resolution Images ◽  
Backscattered Electron ◽  
Electron Imaging ◽  
Scanning Electron

Biological ultrastructures have been extensively studied with the scanning electron microscope (SEM) for the past 12 years mainly because this instrument offers accurate and reproducible high resolution images of cell shapes, provided the cells are dried in ways which will spare them the damage which would be caused by air drying. This can be achieved by several techniques among which the critical point drying technique of T. Anderson has been, by far, the most reproducibly successful. Many biologists, however, have been interpreting SEM micrographs in terms of an exclusive secondary electron imaging (SEI) process in which the resolution is primarily limited by the spot size of the primary incident beam. in fact, this is not the case since it appears that high resolution, even on uncoated samples, is probably compromised by the emission of secondary electrons of much more complex origin.When an incident primary electron beam interacts with the surface of most biological samples, a large percentage of the electrons penetrate below the surface of the exposed cells.

Field Emission SEM Equipped With Noise Compensator

1973 ◽  
Vol 31 ◽  
pp. 302-303
Author(s):  
S. Saito ◽  
H. Todokoro ◽  
S. Nomura ◽  
T. Komoda
Keyword(s):  
Electron Microscope ◽  
High Resolution ◽  
Scanning Electron Microscope ◽  
Field Emission ◽  
Low Contrast ◽  
Probe Current ◽  
High Resolution Images ◽  
Scanning Electron

Field emission scanning electron microscope (FESEM) features extremely high resolution images, and offers many valuable information. But, for a specimen which gives low contrast images, lateral stripes appear in images. These stripes are resulted from signal fluctuations caused by probe current noises. In order to obtain good images without stripes, the fluctuations should be less than 1%, especially for low contrast images. For this purpose, the authors realized a noise compensator, and applied this to the FESEM.Fig. 1 shows an outline of FESEM equipped with a noise compensator. Two apertures are provided gust under the field emission gun.

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