Hafiz Putra

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Information Systems Audit, Education, Business, Sociology, and Computer Science edit
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Automated detection of welding defects in radiographic images becomes nontrivial when uneven illumination, contrast and noise are present. In this paper, a new approach using surface thresholding method is proposed to detect defects in radiographic images of welding joints. In the first stage, several image processing techniques namely fuzzy c means clustering, region filling, mean filtering, edge detection, Otsu thresholding,

Publication Date: 2011

Publication Name: Ndt & E International

Research Interests:
Engineering, Image Processing, Welding Engineering, Mathematical Morphology, Non Destructive Testing, and 22 moreDefects in Semiconductors, Edge Detection, Abnormality detection in endoscopic images of throat cancer using morphological operations, Thresholding, Watershed Segmentation, Watershed Image Segmentation, Non-Destructive Testing and Evaluation, Automated Road Detection, Fuzzy C-Means Clustering Algorithm, Fatigue of Welded Joints, Fuzzy c means clustering, Radiographic Images, Surface Defects, Nondestructive Examination, WELDED JOINT, Inverse Surface Thresholding, Region Filling, Welding Defects, Welding Joints, Thresholding Methods, Image processing techniques, and Morphological Operation

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Publication Date: 2011

Publication Name: Ndt & E International

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