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Measuring water holding capacity in pork meat images using deep learning.
- Source :
-
Meat Science . Jun2023, Vol. 200, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Water holding capacity (WHC) plays an important role when obtaining a high-quality pork meat. This attribute is usually estimated by pressing the meat and measuring the amount of water expelled by the sample and absorbed by a filter paper. In this work, we used the Deep Learning (DL) architecture named U-Net to estimate water holding capacity (WHC) from filter paper images of pork samples obtained using the press method. We evaluated the ability of the U-Net to segment the different regions of the WHC images and, since the images are much larger than the traditional input size of the U-Net, we also evaluated its performance when we change the input size. Results show that U-Net can be used to segment the external and internal areas of the WHC images with great precision, even though the difference in the appearance of these areas is subtle. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03091740
- Volume :
- 200
- Database :
- Academic Search Index
- Journal :
- Meat Science
- Publication Type :
- Academic Journal
- Accession number :
- 162894176
- Full Text :
- https://doi.org/10.1016/j.meatsci.2023.109159