文件名称:A-New-Mura-Defect-Method
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- 图形图像处理(光照,映射..)
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- [PDF]
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- 2012-11-26
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- 957kb
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mura检测的论文。First, a set of
real Gabor filters are applied to eliminating the global textured
backgrounds. Then, the level set method is employed for image
segmentation with a new region-based active contours model,
which is an improvement of the Chan-Vese’s model so that it more
suitable to the segmentation of Mura. Using some results from the
level set based segmentation, the defects are quantified based on
the SEMU method.-mura test papers. First, a set of real Gabor filters are applied to eliminating the global textured backgrounds. Then, the level set method is employed for image segmentation with a new region-based active contours model, which is an improvement of the Chan-Vese' s model so that it more suitable to the segmentation of Mura. Using some results from the level set based segmentation, the defects are quantified based on the SEMU method.
real Gabor filters are applied to eliminating the global textured
backgrounds. Then, the level set method is employed for image
segmentation with a new region-based active contours model,
which is an improvement of the Chan-Vese’s model so that it more
suitable to the segmentation of Mura. Using some results from the
level set based segmentation, the defects are quantified based on
the SEMU method.-mura test papers. First, a set of real Gabor filters are applied to eliminating the global textured backgrounds. Then, the level set method is employed for image segmentation with a new region-based active contours model, which is an improvement of the Chan-Vese' s model so that it more suitable to the segmentation of Mura. Using some results from the level set based segmentation, the defects are quantified based on the SEMU method.
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A New Mura Defect Method.pdf