Abstract
Manual inspection methods are performed by inspectors of the company to detect voids in single pad X-ray images using image processing. This manual procedure is subjective and time-consuming. The purpose of this project is to design a detection system for void areas in single pad X-ray images. Three stages of image processing are applied in this study. The image acquisition stage involves two activities namely single pad X-ray images acquisition and image editing activities. During the pre-image processing stage, the contrast of the single pad X-ray images are enhanced. The Adaptive Histogram Equalization (AHE) method has been found as the best technique for the enhancement stage. Finally, during the image processing stage, the segmentation process has been applied to detect the void regions. Then, the detected void regions have been distinguished from the other regions using the thresholding technique. Based on 20 single pad X-ray images, the qualitative analysis showed that the proposed void detection system has the capability to segment void regions, and this could assist company inspectors to improve inspection.
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Acknowledgement
This project is under Memorandum of Agreement between Universiti Sains Malaysia and ViTrox Technologies Sdn. Bhd. This project is also partially supported by Research University (Individual) Grant with account number 1001/PELECT/8014030.
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Norhairi, A.N.A., Isa, N.A.M., Sakim, H.A.M., Lim, L.N., Lim, S.Y. (2022). Detection of Void Regions in Single Pad X-ray Images Using Image Processing Approach. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_2
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DOI: https://doi.org/10.1007/978-981-16-8129-5_2
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