THE FINE-GRAINED MATERIAL FLOW VISUALIZATION OF THE SADDLE-SHAPE BRIQUETTING IN THE ROLLER PRESS USING COMPUTER IMAGE ANALYSIS

2021 ◽  
Vol 28 (2) ◽  
pp. 69-78
Author(s):  
Michał Bembenek ◽  
Magdalena Buczak
Keyword(s):  
Image Analysis ◽  
Flow Visualization ◽  
Material Flow ◽  
Computer Image ◽  
Computer Image Analysis ◽  
Roller Press ◽  
Fine Grained ◽  
Fine Grained Material ◽  
Saddle Shape

scholarly journals Computer Image Analysis as a Method of Evaluating the Quality of Selected Fine-Grained Food Mixtures

2021 ◽  
Vol 13 (6) ◽  
pp. 3018
Author(s):  
Dominika Barbara Matuszek ◽  
Łukasz Andrzej Biłos
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
High Reliability ◽  
Digital Camera ◽  
Simple Linear Regression ◽  
Computer Image Analysis ◽  
Fine Grained ◽  
Stable Conditions ◽  
Mixing Vessels

This work presents the possibility of using computer image analysis to assess the quality of fine-grained food mixtures. The research was carried out using a mixture of wheat flour and algae. These types of ingredients are used, among others, to produce pasta, which is a functional food due to its enrichment with algae. The tests were carried out for mixtures with different shares of algae: 2%, 3% and 4% w/w. Mixing was carried out in a 3D mixer (Turbula® mixer), in which 20, 40 and 60 mL mixing vessels were placed. At the end of the process, samples were taken from four parts (sectors) of the mixing vessels, and then photos were taken with a digital camera. For this purpose, a specially prepared chamber was used, ensuring stable conditions for taking photos. The obtained images were analyzed in the Patan® program, determining the color on the RGB-256 scale. The obtained values were compared with the previously prepared reference specimen (simple linear regression formula). Based on this, it was possible to determine the share of algae in the samples taken and thus to estimate the homogeneity of the tested mixtures. The obtained results indicate the high reliability of the proposed solution.

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).

Sign in / Sign up

Export Citation Format

Share Document