Application of Image Analysis Techniques for Quality Assessment of Swiss-type of Cheese

Recent Trends in Computer Vision for Cheese Quality Evaluation

“…The authors conclude that a calculated correlation coefficient (above 0.85) indicates that the usage of a median filter and segmentation algorithm (SRM) provides a basis for the development of an intelligent software tool for automatic assessment of the quality and the structure of a cut surface for white cheese in brine. Other research presents an application of algorithms for images processing for assessment of the distribution of gas holes in Swiss cheese [29]. The authors define the factor of gas holes' even distribution, and using statistical analysis, they conclude that a 4 × 4 grid size is preferred for distribution analysis, and a high value of even distribution corresponds with moderate-to-even distribution determined by experts for the examined samples.…”