Primary ghost image analysis of imaging system based on CODE V and LightTools

2017 ◽  
Vol 38 (2) ◽  
pp. 618-622 ◽  
Author(s):  
Chang Weijun ◽  
Geng Haifeng ◽  
Teng Guoqi ◽  
Zheng Changqing
Keyword(s):  
Image Analysis ◽  
Imaging System ◽  
Ghost Image

Method of First-Order Ghost-Image Analysis in Imaging System Based on Code V and Tracepro

2013 ◽  
Vol 33 (4) ◽  
pp. 0411003
Author(s):  
梅超 Mei Chao ◽  
周泗忠 Zhou Sizhong ◽  
张恒金 Zhang Hengjin ◽  
段晶 Duan Jing ◽  
姜凯 Jiang Kai
Keyword(s):  
Image Analysis ◽  
Imaging System ◽  
First Order ◽  
Ghost Image

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

scholarly journals Simultaneous Feulgen densitometry and autoradiographic grain counting with the Quantimet 720D image-analysis system. III. Improvements in Feulgen densitometry.

1983 ◽  
Vol 31 (10) ◽  
pp. 1224-1232 ◽  
Author(s):  
R J Sklarew
Keyword(s):  
Image Analysis ◽  
Imaging System ◽  
Rat Kidney ◽  
Light Sources ◽  
Kidney Cells ◽  
Image Analysis System ◽  
Replication Error ◽  
Feulgen Densitometry ◽  
Optical Configuration ◽  
Analysis System

A method has been developed for densitometric estimation of the Feulgen-stained DNA content of 3H-labeled nuclei in autoradiographs in conjunction with automated grain counting using a Quantimet Imaging System. Refinements in the methodology are reported which include 1) the incorporation of an Image-Editor Module into the Quantimet module configuration; 2) the optimization of incident illumination based upon evaluation of various light sources; 3) changes in the optical configuration which reduce glare and minimize the level of monitor shading correction; 4) the optimization of scanner sensitivity; and 5) the evaluation of cell-flattening and staining with respect to densitometry resolution and sensitivity. These refinements resulted in a CV of less than 6.4% in the G-1 and G-2 DNA peaks of rat kidney cells in autoradiographs compared to the previous CV of 10.5%, and a G-2 to G-1 ratio of 2.025. For a fixed field position the CV was 5.1% and the replication error less than 1.0%.

Ghost-image analysis in phakic intraocular lenses with central hole as a potential cause of dysphotopsia

2015 ◽  
Vol 41 (11) ◽  
pp. 2552-2559 ◽  
Author(s):  
Timo Eppig ◽  
Corinna Spira ◽  
Themistoklis Tsintarakis ◽  
Moatasem El-Husseiny ◽  
Alan Cayless ◽  
...  
Keyword(s):  
Image Analysis ◽  
Intraocular Lenses ◽  
Central Hole ◽  
Ghost Image ◽  
Phakic Intraocular Lenses

scholarly journals Development of an integrated multimodal optical imaging system with real-time image analysis for the evaluation of oral premalignant lesions

2019 ◽  
Vol 24 (02) ◽  
pp. 1 ◽  
Author(s):  
Eric C. Yang ◽  
Imran S. Vohra ◽  
Hawraa Badaoui ◽  
Richard A. Schwarz ◽  
Katelin D. Cherry ◽  
...  
Keyword(s):  
Image Analysis ◽  
Optical Imaging ◽  
Real Time ◽  
Imaging System ◽  
Premalignant Lesions ◽  
Real Time Image ◽  
Optical Imaging System ◽  
Time Image

scholarly journals Seedling image analysis and traditional tests to evaluate onion seed vigor

2017 ◽  
Vol 39 (3) ◽  
pp. 216-223 ◽  
Author(s):  
Nayara Roberto Gonçalves ◽  
Silvio Moure Cicero ◽  
Haynna Fernandes Abud
Keyword(s):  
Electrical Conductivity ◽  
Image Analysis ◽  
Imaging System ◽  
Seedling Emergence ◽  
Accelerated Aging ◽  
Germination Percentage ◽  
Seed Vigor ◽  
Seedling Length ◽  
Onion Seed ◽  
Emergence Percentage

Abstract: The aim of this study was to verify the possibility of using computerized seedling image analysis to detect differences in vigor among onion seed lots and to compare this analysis with traditional vigor tests. We used five seed lots of two onion cultivars, Bella Catarina and Bella Vista. The Seed Vigor Imaging System (SVIS®) software was used to process the seedling images and assess seedling length and vigor through seedling uniformity and growth indexes. These determinations were compared to traditional tests used to evaluate onion seed vigor: germination percentage and first germination count, seedling emergence percentage and emergence speed, accelerated aging, and electrical conductivity. Results showed that vigor differences among onion seed lots can be identified using the SVIS® in a manner similar to traditional vigor tests; assessments should be performed at five days after sowing.

scholarly journals Utilizing a Novel 2D Image Processing System for Relating Body Composition Metrics to Performance in Collegiate Female Rowers

2021 ◽  
Vol 18 (5) ◽  
pp. 2413
Author(s):  
Michael R. Esco ◽  
Clifton J. Holmes ◽  
Katherine Sullivan ◽  
Bjoern Hornikel ◽  
Michael V. Fedewa
Keyword(s):  
Image Analysis ◽  
Body Composition ◽  
Body Weight ◽  
Female Athletes ◽  
Imaging System ◽  
Processing System ◽  
Smartphone Application ◽  
Fat Free Mass ◽  
Image Analysis System ◽  
Rowing Performance

The purpose of this study was to determine if rowing performance was associated with fat mass (FM) or fat-free mass (FFM) measured using a novel 2D digital image analysis system. Nineteen female rowers (ages = 20.3 ± 1.0 years, weight = 73.8 ± 8.3 kg, height = 172.7 ± 4.7 cm) participated in this study. FM and FFM were estimated with a smartphone application that uses an automated 2D image analysis program. Rowing performance was measured using a 2 km (2k) timed trial on an indoor ergometer. The average speed of the timed trial was recorded in raw units (m·s−1) and adjusted for body weight (m·s−1·kg−1). FFM was significantly correlated to unadjusted 2k speed (r = 0.67, p < 0.05), but not for FM (r = 0.44, p > 0.05). When 2k speed was adjusted to account for body weight, significant correlations were found with FM (r = −0.56, p < 0.05), but not FFM (r = −0.34, p > 0.05). These data indicate that both FM and FFM are related to rowing performance in female athletes, but the significance of the relationships is dependent on overall body mass. In addition, the novel 2D imaging system appears to be a suitable field technique when relating body composition to rowing performance.

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