A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image / S. E. Vorobeychikov [et al.]
Уровень набора: Russian Journal of Nondestructive TestingЯзык: английский.Страна: .Серия: X-Ray MethodsРезюме или реферат: The mathematical model of a digital radiation image is given that corresponds to a test object that contains two types of defects, namely, pores and cracks (or nonpenetrating defects). Two algorithms for automatic image recognition of these defects on a digital radiation image of an object are given. The effectiveness of the algorithms was evaluated via mathematical simulation..Примечания о наличии в документе библиографии/указателя: [References: p. 650-651 (25 tit.)].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | тест-объекты | дефекты | радиационные изображения | алгоритмы распознавания Ресурсы он-лайн:Щелкните здесь для доступа в онлайнНет реальных экземпляров для этой записи
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[References: p. 650-651 (25 tit.)]
The mathematical model of a digital radiation image is given that corresponds to a test object that contains two types of defects, namely, pores and cracks (or nonpenetrating defects). Two algorithms for automatic image recognition of these defects on a digital radiation image of an object are given. The effectiveness of the algorithms was evaluated via mathematical simulation.
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