Advances in Meat Processing Technology

Author(s):  
I.M. Oshchypok ◽  
◽  
N.S. Palko ◽  
O.Ja. Davydovych ◽  
L.M. Bagriy ◽  
...  

EDIS ◽  
2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
Erica L. Bub ◽  
Keith Schneider ◽  
Chad Carr ◽  
Matt Hersom

Meat processing technology is used to produce many of the foods we enjoy, such as hot dogs, hamburgers, and chicken nuggets. Recently, the media has focused on certain meat products, giving them names such as “pink slime” and “meat glue.” The names of these products might have many people wondering what we are eating and how the meat we eat is produced. Part of being a good consumer is learning about what you eat, from how the food is made to whether the food is safe. This publication discusses the facts about meat processing so you can make knowledgeable decisions about the meat you eat. This 5-page fact sheet was written by Erica L. Bub, Keith Schneider, Chad Carr, and Matt Hersom, and published by the UF Department of Animal Sciences, December 2012. http://edis.ifas.ufl.edu/an283


Author(s):  
Mustika Nuramalia Handayani ◽  
Arasinah Kamis ◽  
Mohammad Ali ◽  
Dinn Wahyudin ◽  
Mukhidin Mukhidin

2019 ◽  
Vol 7 (2) ◽  
pp. 11-15 ◽  
Author(s):  
Evans Frimpong Boateng ◽  
Mustapha Muhammad Nasiru

Author(s):  
Klaus-Ruediger Peters

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.


2020 ◽  
Vol 3 (1) ◽  
pp. 26-29
Author(s):  
V.N. Koreshkov ◽  
V.A. Lapshin ◽  
S.I. Khvylya ◽  
V.V. Nikitin ◽  
T.A. Minin
Keyword(s):  

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