This paper presents fast parallel sorting algorithm which uses division in subsets and quick sort algorithm. The proposed algorithm is evaluated by analytic way and results shows that it will be faster than algorithm in [3] when time for division in subsets of all set is bigger than time for sending/receiving of partial subsets.

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This paper presents a research over possibilities to evaluate a cut surface of white brined cheese by images analysis. Samples from seven trademarks of Bulgarian white cheese in brine are evaluated by experts and their cut surfaces are captured with digital camera. A Java application for color images processing in HSI color space is developed. The application executes multilevel thresholding and produces grayscale images with four colors – white, black, light gray and dark gray. The images of all tested cheese samples are processed with this application and there are calculated ratios of pixels with the same color to all pixels in the processed images (Kdiv for white, black, light gray and dark gray colors). The cut surfaces of cheese samples are evaluated by experts and it is performed a correlation analysis between experts’ estimation and the coefficients Kdiv. The results show that there are a significant correlation between experts’ estimation and the pixels with dark gray color (their coefficient Kdiv) in the processed images.

The bread is one of the most popular foods in Bulgaria. It’s quality is regulated by approved standards. This paper presents a computer based approach for evaluation of bread porosity which is one of physicochemical parameters of bread quality. The proposed approach includes image processing techniques. A Java program is developed to binarize images of bread and calculate ratio of white pixels to all (coefficient of diversity). This coefficient corresponds with physicochemical parameter- bread porosity. It is used an open-source plugin Auto_Threshold for image binarization. This plugin implements seventeen different algorithms to find global threshold value of a grayscale image. The results show that global thresholding is appropriate for evaluation of bread porosity. The correlation analysis shows that algorithm HisAnalysis could be used for fast and effective evaluation of bread porosity using image processing. Practical applicationsThe use of image processing accelerate the process of bread porosity evaluation. Presented research proves practical benefit to apply image processing for evaluation of physicochemical parameter- bread porosity. The results show that seven algorithms which are included in Auto_Threshold plugin and HisAnalysis algorithm are suitable for bread porosity evaluation. The fastest algorithm is HisAnalysis and it could be used in practice for fast evaluation (in real-time processing) of physicochemical parameter- bread porosity.