Данная магистерская работа посвящена изучению систем распознавания образов для их применения в производстве с целью обнаружения и классификации дефектов. В работе рассматриваются различные типы дефектов, способы их обнаружения. Так же производится сравнение и анализ типов различных систем распознавания образов и их особенностей для решения задачи поиска и классификации дефектов.
Lucrarea dată este dedicată studierii sistemelor de recunoaștere a imaginilor cu aplicarea acestora în producție în scopul detectării și clasificării defectelor. În această lucrare se analizează diferite tipuri de defecte și metodele de detectare a acestora.
This master's work is devoted to the study of pattern recognition systems for their use in production in order to detect and classify defects. The paper considers various types of defects, methods for their detection. It also compares and analyzes the types of different pattern recognition systems and their features for solving the problem of searching and classifying defects. Based on the analysis of image recognition systems, it is concluded which method of pattern recognition is most suitable for solving the problem of detecting and classifying defects and satisfies its criteria most fully.
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