Image segmentation methods in problems of surface defect detection
Автор: Tsapaev Alexei Petrovich, Kretinin Oleg Vasilyevich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 3 т.36, 2012 года.
Бесплатный доступ
The analysis of image segmentation methods concerning to problem of surface defect detection is produced. Watershed method, normalized cut method and method of form spectrum change valuation (FSCV) are considered. Analysis is conducted on the model images and images of inspection object (images of inner tube surface). The conclusion about possibility of FSCV method application in visual surface inspection systems is drew.
Image processing, segmentation, visual inspection, defect, automation, pipes
Короткий адрес: https://sciup.org/14059107
IDR: 14059107
