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).

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).

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

Estimation of bodyweight from body measurements and determination of body measurements on Limousin cattle using digital image analysis

2016 ◽  
Vol 56 (12) ◽  
pp. 2060 ◽  
Author(s):  
Serkan Ozkaya ◽  
Wojciech Neja ◽  
Sylwia Krezel-Czopek ◽  
Adam Oler
Keyword(s):  
Image Analysis ◽  
Body Length ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Digital Camera ◽  
Body Measurements ◽  
Analysis Software ◽  
Body Area ◽  
Image Analysis Software

The objective of this study was to predict bodyweight and estimate body measurements of Limousin cattle using digital image analysis (DIA). Body measurements including body length, wither height, chest depth, and hip height of cattle were determined both manually (by measurements stick) and by using DIA. Body area was determined by using DIA. The images of Limousin cattle were taken while cattle were standing in a squeeze chute by a digital camera and analysed by image analysis software to obtain body measurements of each animal. While comparing the actual and predicted body measurements, the accuracy was determined as 98% for wither height, 97% for hip height, 94% for chest depth and 90.6% for body length. Regression analysis between body area and bodyweight yielded an equation with R2 of 61.5%. The regression equation, which included all body traits, resulted in an R2 value of 88.7%. The results indicated that DIA can be used for accurate prediction of body measurements and bodyweight of Limousin cattle.

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
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