Two Algorithms of Defect Detection about Digital Radiograph Image

Kai Tian; Jia Rong Shi; Chun Xiao Yang; Fei Yu Ji

doi:10.4028/www.scientific.net/AMM.602-605.2093

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Two Algorithms of Defect Detection about Digital...

Two Algorithms of Defect Detection about Digital Radiograph Image

Abstract:

Defect detection is necessary before the use of industrial castings. DR (Digital Radiograph) system has a broad application prospect because of high detection efficiency. The CV model is an image segmentation method with high accuracy, but its segmentation result is not perfect in the case of strong edge. As a common image segmentation method, region growing has simple calculation as a result of using the space character of the image. In this paper, the defect detection about DR synthetic color image of railway truck side frame was conducted by CV model and the region growing methods, and segmentation achieved good results.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2093-2096

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2093

Citation:

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Online since:

August 2014

Authors:

Kai Tian*, Jia Rong Shi, Chun Xiao Yang, Fei Yu Ji

Keywords:

CV Model, Defects Detection, Dr Image, Image Segmentation, Region Growing

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* - Corresponding Author

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