Image segmentation methods in problems of surface defect detection
A.P. Tsapaev, O.V. Kretinin

Full text of article: Russian language.

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.

Key words:
image processing, segmentation, visual inspection, defect, automation, pipes.


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