Fourier analysis for micro-optical scanning system

1997 ◽  
Author(s):  
Yanbin Zhu ◽  
Junfu Ma
Keyword(s):  
Fourier Analysis ◽  
Scanning System ◽  
Optical Scanning ◽  
Optical Scanning System

Improvements of an optical scanning system for indoor localization based on defuzzification methods.

2021 ◽  
pp. 1-1
Author(s):  
Jesus E. Miranda-Vega ◽  
Arnoldo Diaz-Ramirez ◽  
Oleg Sergiyenko ◽  
Wendy Garcia-Gonzalez ◽  
Wendy Flores-Fuentes ◽  
...  
Keyword(s):  
Indoor Localization ◽  
Scanning System ◽  
Optical Scanning ◽  
Optical Scanning System

Optical Scanning in the Lateral Eyes of the Copepod Copilia

Perception ◽  
1972 ◽  
Vol 1 (3) ◽  
pp. 247-261 ◽  
Author(s):  
A C Downing
Keyword(s):  
Image Plane ◽  
Optical Measurements ◽  
Scanning System ◽  
Intact Female ◽  
Stripe Pattern ◽  
Positive Evidence ◽  
Optical Scanning ◽  
Receptor Structure ◽  
Behavioural Evidence ◽  
Optical Scanning System

The lateral eyes of the female Copilia are exceptionally large for a creature of its size but have very few receptors. These receptors appear to scan the image plane of the anterior lenses of the eye, but until now there has been no behavioural evidence linking their movement positively with the functioning of the eyes, though there is some (disputed) evidence that it is merely a side-effect of peristalsis. On channel-capacity grounds we might not have expected optical scanning to occur in biological systems, so any positive evidence for scanning, in the engineering sense, is particularly interesting. Optical measurements of the position of the image plane, in live intact female Copilia quadrata, generally corroborate Exner's (1891) finding that an image is in focus at the plane of the distal ends of the receptors, though the position of best focus seems slightly in front of a second lens, behind which the receptor structure lies. An alternative optical schema of Wolken and Florida (1969) is disproved. The position of focus satisfies minimal optical conditions for scanning. Movements of a coloured stripe pattern, used as a test object for the optical measurements, elicited the putatively scanning movements of the receptor structure, suggesting strongly that these really are an intrinsic part of normal visual functioning, not an epiphenomenon. It was also discovered that intermittent swimming movements of the limbs tend to be preceded by these photoreceptor movements. Both findings support the hypothesis that Copilia's eye is an optical scanning system.

Calibration of high-aspect ratio quality control optical scanning system

2013 ◽  
Author(s):  
Aneliya Karadzhinova ◽  
Timo Hildén ◽  
Jouni Heino ◽  
Maria Berdova ◽  
Rauno Lauhakangas ◽  
...  
Keyword(s):  
Quality Control ◽  
Aspect Ratio ◽  
High Aspect Ratio ◽  
Scanning System ◽  
Optical Scanning ◽  
Optical Scanning System

Comparative Analysis of Trash Contamination in Cotton by Optical Scanning

1977 ◽  
Vol 99 (1) ◽  
pp. 46-50 ◽  
Author(s):  
D. W. Lyons ◽  
R. L. Barker
Keyword(s):  
Image Analysis ◽  
Comparative Analysis ◽  
Optical Imaging ◽  
Standard Method ◽  
Scanning System ◽  
Optical Scanning ◽  
Absolute Indication ◽  
Grade Classification ◽  
Optical Scanning System

Successful utilization of an automated optical scanning system for the purpose of assessing the trash factor included in the grade classification of cotton was demonstrated in a study that featured analysis of cottons representing a broad range of trash levels and lint colors. The utility of image analysis as an absolute indication of grade-related differences in cotton was statistically confirmed. Sources contributing to the variability of nonlint assessment by optical imaging were defined and analyzed, as was the influence of interrelated grade factors such as lint coloration on optically measured contaminant levels. In a direct comparison with the Shirley Analyzer, computerized optical scanning was shown to be at least as reliable as this standard method for determining nonlint waste.

scholarly journals Vehicle Image Classifier for Bridge Displacement Correlation

2021 ◽  
Vol 33 (2) ◽  
pp. 137-148
Author(s):  
Wendy Flores-Fuentes
Keyword(s):  
Structural Damage ◽  
Vision System ◽  
Abnormal Behavior ◽  
Scanning System ◽  
Optical Scanning ◽  
Structural Health ◽  
Normal Behavior ◽  
Bridge Damage ◽  
Advanced Computing ◽  
Optical Scanning System

Advanced computing brings opportunities for innovation in a broad gamma of applications. Traditional practices based on visual and manual methods tend to be replaced by cyber-physical systems to automate processes. The present work introduces an example of this, a machine vision system research based on deep learning to classify bridge load, to give support to an optical scanning system for structural health monitoring tasks. The optical scanning system monitors the health of structures, such as buildings, warehouses, water dams, etc. by the measurement of their coordinates to identify if a coordinate displacement befalls that could indicate an anomaly in the structure that can be related to structural damage. The use of this optical scanning system to monitor the structural health of bridges is a little more complicated due to the vehicle's transit over the bridge that causes a vehicle-bridge interaction which manifests as a bridge oscillation. Under this scheme, the bridge oscillation corresponds to their coordinate’s displacement due to the vehicle-bridge interaction, but not necessarily due to bridge damage. So, a bridge load classifier is required to correlate the bridge coordinates measurements behavior with the bridge oscillation due to vehicle-bridge interaction to discriminate the normal behavior of the structure to abnormal behavior or identify tendencies that could indicate bridge deformation or discover if the bridge behavior due to loads is changing through the time.

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