Abstract
In order to improve efficiency and precision of nondestructive testing, a nondestructive flaw detection system based on intelligent robot is described. The developed system on 4-dof industrial robot can perform detection in three-dimensional space and the adaptive-network-based fuzzy inference system has been adopted to improve inspection adaptability. A color image segmentation algorithm and an improved adaptive region growing algorithm were proposed and proved to be effective in defect detection. Actual results indicate that the developed system has advantages of good stability and high precision.
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Chen, Z., Xu, W. (2009). Nondestructive Flaw Detection System of Intelligent Robot with Machine Vision. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_14
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DOI: https://doi.org/10.1007/978-3-642-02937-0_14
Publisher Name: Springer, Berlin, Heidelberg
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