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Defect extraction of ICT images based on adaptive morphological filtering. (Chinese. English summary) Zbl 1212.68389

Summary: The aim of this paper is to overcome the shortcomings of the current defect extraction methods for ICT (industrial computerized tomography) images, an adaptive filtering method based on the mathematical morphology is proposed. Firstly, with this method, the primary region of a structural element is automatically chosen in the light of region size after the watershed transformation of full ICT images. Secondly, the ellipse fitting operation is applied to the boundary of the primary region to get the final structural element. Then, the background images are gotten by the closing operation of the mathematical morphology on the original images using the final structural element. Finally, the defect images are obtained by subtracting the original image from the background images. The experimental results show that compared with the current methods, the proposed method can obtain a good result of defect extraction of ICT images.

MSC:

68U10 Computing methodologies for image processing
68U05 Computer graphics; computational geometry (digital and algorithmic aspects)
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