2022
DOI: 10.1063/5.0099673
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Application of images segmentation and median filter for white brined cheese structure evaluation

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Cited by 1 publication
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“…The presented algorithm for images processing in an HSI color space extracts coefficients for four colors into segmented images that are used for comparison with experts' assessment for the presence of "Porcelanov lom" in examined white sheep cheese in brine, and the results prove the effectiveness of the developed algorithm (very strong correlation is achieved). Other research presents an application of images segmentation through the SRM (Statistical Region Merging) algorithm for complex assessment of the structure of Bulgarian white brined cheese in an RGB color system [28]. The processing of images is performed using ImageJ software, and the results indicate a strong correlation with experts' assessment.…”
Section: Using Digital Images For Cheese Quality Evaluationmentioning
confidence: 99%
“…The presented algorithm for images processing in an HSI color space extracts coefficients for four colors into segmented images that are used for comparison with experts' assessment for the presence of "Porcelanov lom" in examined white sheep cheese in brine, and the results prove the effectiveness of the developed algorithm (very strong correlation is achieved). Other research presents an application of images segmentation through the SRM (Statistical Region Merging) algorithm for complex assessment of the structure of Bulgarian white brined cheese in an RGB color system [28]. The processing of images is performed using ImageJ software, and the results indicate a strong correlation with experts' assessment.…”
Section: Using Digital Images For Cheese Quality Evaluationmentioning
confidence: 99%