scholarly journals Assessment of Polyethylen-Modified Bitumen Adhesion Using Computer Image Analysis

2016 ◽  
Vol 62 (4) ◽  
pp. 3-18 ◽  
Author(s):  
D. Brożyna ◽  
K. J. Kowalski
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Negative Impact ◽  
Modified Bitumen ◽  
Computer Image Analysis ◽  
Adhesion Testing ◽  
Key Points ◽  
Novel Method ◽  
Coated Area ◽  
Bitumen Modification

AbstractIn order to achieve extended life of asphalt pavement, one of key points is to achieve a good bonding between it’s components. This research paper presents findings on the topic of influence of polyethylene bitumen modification on the adhesion between bitumen and aggregate. A novel method of quantifying the bitumen coated area, based on computer image analysis, has been developed for this study. Two different methods of adhesion testing were employed, namely boiling water method and the rolling bottle method. Aggregates used in this study were granite and limestone. Based on 108 measurements, it was concluded that polyethylene modification has a negative impact on binder aggregate adhesion.

Recent developments in automated Transmission Electron MI

1989 ◽  
Vol 47 ◽  
pp. 46-47
Author(s):  
W.J. de Ruijter ◽  
P. Rez ◽  
David J. Smith
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Lens Design ◽  
Computer Image Analysis ◽  
Transmission Electron ◽  
Resolution Electron ◽  
Recent Developments ◽  
On Line ◽  
Routine Procedures ◽  
Near Future

There is growing interest in the on-line use of computers in high-resolution electron n which should reduce the demands on highly skilled operators and thereby extend the r of the technique. An on-line computer could obviously perform routine procedures hand, or else facilitate automation of various restoration, reconstruction and enhan These techniques are slow and cumbersome at present because of the need for cai micrographs and off-line processing. In low resolution microscopy (most biologic; primary incentive for automation and computer image analysis is to create a instrument, with standard programmed procedures. In HREM (materials researc computer image analysis should lead to better utilization of the microscope. Instru (improved lens design and higher accelerating voltages) have improved the interpretab the level of atomic dimensions (approximately 1.6 Å) and instrumental resolutior should become feasible in the near future.

Computer image analysis of intramuscular adipocytes and marbling in the longissimus muscle of cattle1

2006 ◽  
Vol 84 (12) ◽  
pp. 3251-3258 ◽  
Author(s):  
X. J. Yang ◽  
E. Albrecht ◽  
K. Ender ◽  
R. Q. Zhao ◽  
J. Wegner
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Longissimus Muscle ◽  
Computer Image Analysis

scholarly journals Computer Image Analysis for Marbling Change within Longissimus Muscle with Cut Section of Japanese Black Steers

2007 ◽  
Vol 78 (4) ◽  
pp. 441-446 ◽  
Author(s):  
Yoshinobu NAKAHASHI ◽  
Shin MARUYAMA ◽  
Shinji SEKI ◽  
Satoshi HIDAKA ◽  
Keigo KUCHIDA
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Longissimus Muscle ◽  
Computer Image Analysis

Identification of physical parameters of cereal grain using computer image analysis and neural models

2013 ◽  
Author(s):  
Krzysztof Nowakowski ◽  
Barbara Raba ◽  
Robert J. Tomczak ◽  
Piotr Boniecki ◽  
Sebastian Kujawa ◽  
...  
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Physical Parameters ◽  
Neural Models ◽  
Computer Image Analysis ◽  
Cereal Grain

Objective assessment of lamb conformation: reliability of body measurements determined by computer image analysis

1996 ◽  
Vol 1996 ◽  
pp. 106-106
Author(s):  
S. Al-Shami ◽  
I. Ap Dewi
Keyword(s):  
Image Analysis ◽  
Body Length ◽  
Computer Image ◽  
Objective Assessment ◽  
Repeated Measurements ◽  
Horizontal Distance ◽  
Body Measurements ◽  
Computer Image Analysis ◽  
Reliability Estimates

A method to determine body measurements by computer image analysis of lamb photographs was described by Komlosi (1994). It was suggested that the technique could be used to predict conformation of live sheep, particularly candidate breeding rams. This study was conducted to evaluate the reliability of lamb body measurements derived using this technique.Thirty lambs (Border Leicester (4), Texel (16), Suffolk (10)) were used. Reliability estimates were obtained from repeated (5 replications) photographs of the same animals and from repeated measurements (4 replications) of individual photographs. Eight lamb body measurements were used in this study namely, body length (BL), height at withers (HW), height at hip (HHP), hind-quarter horizontal distance (HQH), hind-quarter diagonal distance (HQD), hind quarter area (HQA), side area (SA) and rump diagonal (RUD). These measurements are as described by Komlosi (1994).

Computer image analysis for measuring lean and fatty areas in cross-sectioned dry-cured hams1

2004 ◽  
Vol 82 (3) ◽  
pp. 808-815 ◽  
Author(s):  
P. Carnier ◽  
L. Gallo ◽  
C. Romani ◽  
E. Sturaro ◽  
V. Bondesan
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Computer Image Analysis
Sign in / Sign up

Export Citation Format

Share Document