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1 Machine Graphics and Vision

1 1999

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Morphological detection and feature-based classification of cracked regions in ferrites

Nieniewski M., Chmielewski L., Jóźwik A., Skłodowski M.

Machine Graphics and Vision

1999

Vol. 8, No. 4

699-712

Automatic quality inspection of ferrite products is difficult as thier surfaces are dark and in many cases coverred with traces of grinding. A two-stage vision system for detection and measurement of crack regions was devised. In the first stage the regions with strong evidence for cracks are found using a morphological detector of irregular grightness changes with subsequent morphological reconstruction. In the second stage the feature-based k-Nearest Neighbors classifier analyzes the pixel indicated in the first stage. The classifier is optimized by using procedures of reclassification and replacement carried out on the reference set of pattern pixels to achieve a low error rate and a maximum speed of computation.