Welding Bead Segmentation Algorithm Using Edge Enhancement and Active Contour
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IIn this paper, we propose an algorithm for segmenting weld bead images using edge enhancement and active contours. In the proposed method, high-frequency filtering and contrast improvement are performed for edge enhancement, and then, by applying the active contour method, only the weld bead region can be obtained. The proposed algorithm detects an edge through high-frequency filtering and reinforces the detected edge by using contrast enhancement. After the edge information is improved in this way, the weld bead area can be extracted by applying the active contour method. The proposed algorithm shows better performance than the existing methods for segmenting the weld bead in the image. For the objective reliability of the proposed algorithm, it was compared with the existing active contour method, graph-based method, and Hofner method, and it was confirmed that the welding bead segmentation of the proposed method is superior. The proposed method can be usefully used in evaluating the quality of the weld bead through an additional procedure for the segmented weld bead.
Abstract
IIn this paper, we propose an algorithm for segmenting weld bead images using edge enhancement and active contours. In the proposed method, high-frequency filtering and contrast improvement are performed for edge enhancement, and then, by applying the active contour method, only the weld bead region can be obtained. The proposed algorithm detects an edge through high-frequency filtering and reinforces the detected edge by using contrast enhancement. After the edge information is improved in this way, the weld bead area can be extracted by applying the active contour method. The proposed algorithm shows better performance than the existing methods for segmenting the weld bead in the image. For the objective reliability of the proposed algorithm, it was compared with the existing active contour method, graph-based method, and Hofner method, and it was confirmed that the welding bead segmentation of the proposed method is superior. The proposed method can be usefully used in evaluating the quality of the weld bead through an additional procedure for the segmented weld bead.
참고문헌 (11)
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