Abstract
Purpose of research. Methods and algorithms for automatic acquisition and improvement of digital image quality in controllers for labeling systems and image processing and recognition systems are the objects of the article. The purpose of the study is to develop new methods to improve quality and image processing for optoelectronic devices and vision systems. The topicality of the scientific and technical task to expand the functionality and improve the quality of computing devices in control systems and quality control of objects labeling is mentioned; in particular, the need to extract the image of the label in order to determine defects of the quality of labeling is highlighted. Distortion was chosen as the main adjustable feature of the obtained images. Methods. The main approaches used in the determination and correction of distortion are considered; their shortcomings are revealed; the analysis of the main methods described in the literature is carried out. The paper used the framework of analytical geometry, pattern recognition theory, methods for processing and analysis of bitmap images. Results. A method for image processing to improve image quality, software for detecting and processing images of labels and documents were developed. A variant of determining the radial distortion in case of the shift of the observation in different directions is proposed. The modeling of the developed method by means of the specially created software is performed. The experimental studies of the developed software were carried out. Their results are provided, and advantages and disadvantages are highlighted. Conclusion. The developed method can be used in image acquisition and processing devices operating in automatic mode and applied in vision and labeling quality control systems.
Highlights
Acknowledgements: The work was done under the theme n 0071-2019-0001 Development of theory and methods of applied mathematics, neural network technology and systems management of processes in problems of CAD systems, analysis of visual data, protection of information and forecasting
2. Panishchev V.S., Slavkova O.B. Skhema upravleniya shagovym dvigatelem dlya avtomatizirovannoy sistemy naneseniya etiketki na podvizhnyy ob"yekt [Control circuit of stepper motor for automated system of moving objects labeling] Izvestiya vysshikh uchebnykh zavedeniy
Summary
В работе объектом исследования являются методы и алгоритмы автоматического получения и улучшения качества цифровых изображений в контроллерах для систем этикетирования и систем обработки и распознавания изображений. Цель работы – разработка новых методов улучшения качества и обработки изображений для использования в оптико-электронных устройствах и системах технического зрения. Рассмотрены основные подходы, используемые при определении и коррекции дисторсии, выявлены их недостатки, проведен анализ основных методов, описанных в литературе. В работе использовались аппарат аналитической геометрии, теория распознавания образов, методы обработки и анализа растровых изображений. Разработанный метод может использоваться в устройствах получения и обработки изображений, функционирующих в автоматическом режиме и применяемых в системах технического зрения и контроля качества этикетирования. Метод коррекции дисторсии в задачах обработки изображений этикеток // Известия Юго-Западного государственного университета.
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