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- W2327385890 abstract "Abstract Because of the special texture structure of alumina ceramic, the plate is often incorrectly detected by simply using edge detector. In this paper, we investigate a scheme for detecting the surface defections by combining Canny edge detector and contourlet transformation. Contourlet is a type of directional wavelet and it has good performance of image smoothing and denoising for image. At each high frequency subband of L-level decomposition, the Gaussian mixture model (GMM) and generalized Gaussian model (GGM) are exploited to remove the noise of ceramic image. The defects of denoised image are extracted by using canny edge detector at finally. Experimental results confirm the usefulness of this scheme for the industrial application." @default.
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- W2327385890 date "2012-03-15" @default.
- W2327385890 modified "2023-09-26" @default.
- W2327385890 title "Alumina Ceramic Surface Defect Detection: Combining Canny Edge Detector and Contourlet Transformation" @default.
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- W2327385890 doi "https://doi.org/10.4156/ijact.vol4.issue5.16" @default.
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