title: Ð ÐµÑÐµÐ½Ð¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸ Ð°Ð¿Ð¿ÑÐ¾ÐºÑÐ¸Ð¼Ð°ÑÐ¸Ð¸ Ð³ÑÐ°Ð½Ð¸Ñ Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ ÑÑÐµÐ·Ð¾Ð² Ð¼ÑÑÐ½Ð¾Ð¹ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Solution to the problem of boundaries approximation in images of slices of meat products
Creators: name: ÐÐ°Ð»Ð¸Ð¼ÑÐ»Ð»Ð¸Ð½Ð°, Ð ÐµÐ½Ð°ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ°Ð»ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¼ÑÑÐ½Ð¾Ð¹ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¸Ð¸
ÑÐ¸ÑÑÐµÐ¼Ð° Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹
Ð°Ð¿Ð¿ÑÐ¾ÐºÑÐ¸Ð¼Ð°ÑÐ¸Ñ B-ÑÐ¿Ð»Ð°Ð¹Ð½Ð°Ð¼Ð¸
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Ð¼ÐµÑÐ¾Ð´ Ð¿Ð¾Ð»Ð¸Ð³Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ Ð°Ð¿Ð¿ÑÐ¾ÐºÑÐ¸Ð¼Ð°ÑÐ¸Ð¸
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Spark Streaming
adulteration of meat products
decision support system
B-spline approximation
Monte Carlo method
polygonal approximation method
approximate lake method
topological data analysis
particle color identification
spark streaming

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description: Subject of study: approaches and methods for digital processing of images of slices of meat products related to detection of the contour of the selected fragment, its shape, surface area and color. Purpose: development of an algorithm for the automated detection of adulteration in meat products based on the processing of digital images of histological sections. The main results of the study. A comprehensive analysis of the detection of falsification in meat products was carried out, specific tasks requiring automation were identified. The following tasks were completed: detection of counterfeit image contours, detection of counterfeit areas and the shape of its particles, identification of the counterfeit particlesâ color. To develop a four-module algorithm the Spark Streaming interface and the Python programming language were used. The architecture of a hybrid expert system for decision support during adulteration detection is proposed. Scope of application of the results: food industry enterprises with automated processes for quality control of meat products and falsification detection; regulatory organizations and supervisory authorities for enhancement of quality control efficiency; laboratories and scientific research centers for automatic analysis and image processing.