scholarly journals Prediction of crude fat content of longissimus muscle of beef using the ratio of fat area calculated from computer image analysis: comparison of regression equations for prediction using different input devices at different stations.

2000 ◽  
Vol 78 (4) ◽  
pp. 799 ◽  
Author(s):  
K Kuchida ◽  
S Kono ◽  
K Konishi ◽  
L D Van Vleck ◽  
M Suzuki ◽  
...  
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Fat Content ◽  
Regression Equations ◽  
Longissimus Muscle ◽  
Computer Image Analysis ◽  
Input Devices

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

An open-access computer image analysis (CIA) method to predict meat and fat content from an android smartphone-derived picture of the bovine 5th-6th rib

Methods ◽  
2020 ◽  
Author(s):  
Bruno Meunier ◽  
Jérôme Normand ◽  
Benjamin Albouy-Kissi ◽  
Didier Micol ◽  
Mohammed El Jabri ◽  
...  
Keyword(s):  
Image Analysis ◽  
Open Access ◽  
Computer Image ◽  
Fat Content ◽  
Computer Image Analysis

scholarly journals Use of computer image analysis for in vivo estimates of the carcass quality of bulls

2008 ◽  
Vol 52 (No. 12) ◽  
pp. 430-436
Author(s):  
P. Polák ◽  
T. Sakowski ◽  
E.N. Blanco Roa ◽  
J. Huba ◽  
E. Krupa ◽  
...  
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Stepwise Regression ◽  
Carcass Quality ◽  
Regression Equations ◽  
Computer Image Analysis ◽  
Photometric Measurements ◽  
Top View

The aims of the paper were to construct models for the estimation of carcass quality by means of computer image analysis and to verify computer photometry as an <i>in vivo</i> method of carcass quality prediction. Results of photometric measurements and carcass quality of 118 Slovak Pied bulls slaughtered at the age of 15 to 18 months were analysed. Nine length dimensions and four area dimensions were measured on the images of the top, left and rear view of each animal. Hot carcass weight (HCW), weight of meat in carcass (WMC) and weight of meat in valuable cuts (WMVC) were obtained after slaughter treatment and carcass dissection. HCW, WMC and WMVC revealed a maximum correlation with the top-view body area (<i>r</i> = 0.54–0.60) and thurl width (<i>r</i> = 0.58–0.60). Stepwise regression was applied to construct linear regression equations for HCW, WMC and WMVC in two alternatives using photometrical dimensions with and without weight before slaughter (WBS). <i>R</i><sup>2</sup> in an alternative without WBS were lower (<i>R</i><sup>2</sup> = 0.47–0.55); however <i>R</i><sup>2</sup> in an alternative with weight before slaughter were higher and highly significant (<i>R</i><sup>2</sup> = 0.83–0.92). In both alternatives, the equation for HCW had the highest <i>R</i><sup>2</sup> and the equation for WMVC had the lowest <i>R</i><sup>2</sup>. Equations using photometric dimensions and WBS are suitable to estimate HCW, WMC and WMVC without detailed dissection.

Estimation of beef marbling in the Longissimus muscle with computer image analysis of ultrasonic pictures of the Iliocostalis muscle area

2013 ◽  
Vol 85 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Toshihiro Nade ◽  
Yuya Kataoka ◽  
Kazuhiro Hoshi ◽  
Ikuo Maeda ◽  
Kunihiko Saito
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Longissimus Muscle ◽  
Computer Image Analysis ◽  
Muscle Area ◽  
Beef Marbling

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.

Sign in / Sign up

Export Citation Format

Share Document