IMAGE SEGMENTATION METHODS IN PROBLEMS OF SURFACE DEFE CT DETECTION

Abstract 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 in-spection object (images of inner tube surface). The conclusion about possibility of FSCV method application in visual surface inspection systems is drew. Key words: image processing, segmentation, visual inspection, defect, automation, pipes. Сведения об авторах Цапаев Алексей Петрович , 1986 года рождения, в 2009 окончил Нижегородский го-сударственный технический университет им. Р.Е. Алексеева, в настоящее время является аспирантом НГТУ. Область научных интересов: цифровая обработка изображений. E-mail: alexgrusp@mail.ru . Alexei Petrovich Tsapaev (b. 1986) graduated from the R.E. Alekseev Nizhny Novgorod State Technical University in 2009. Now he is a postgraduate student of the Nizhny Novgorod State Technical University. Research interests: digital image processing.