Image Enhancement Applied to Water Holding Capacity Images

Water Holding Capacity (WHC) is one of the most important attributes related to the quality of pork meat. Normally, WHC is estimated by measuring the juice released after the compression of meat samples. However, all the evaluation process is still manually handled by experts, making the samples sub...

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Bibliographic Details
Published inInternational Conference on Systems, Signals, and Image Processing (Online) pp. 199 - 204
Main Authors de Andrade, Renan G., Durval, Mariah C., Ferreira, Isaura M., Antunes, Robson C., Backes, Andre R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2020
Subjects
Brightness
Digital Image Processing
Economic trait
Histograms
Illumination Correction
Image coding
Image color analysis
Image enhancement
Lighting
Pork Meat
Visualization
Water Holding Capacity
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Summary:Water Holding Capacity (WHC) is one of the most important attributes related to the quality of pork meat. Normally, WHC is estimated by measuring the juice released after the compression of meat samples. However, all the evaluation process is still manually handled by experts, making the samples subject to many factors, such as variations in illumination during the acquisition process. In this sense, there is a great need to automate this process and digital image processing techniques can be very useful for this. In this paper, we approach the problem of image enhancement, which is an important and necessary stage to better identify the different regions of a WHC image. We developed an image enhancement approach that corrects both illumination and color variations present in the images. We compared our approach with other approaches found in literature in terms of visual aspect and through Measure of Enhancement (EME). Results indicated that our technique presents a superior performance in the problem of correcting illumination problems in WHC images.
ISSN:2157-8702
DOI:10.1109/IWSSIP48289.2020.9145280