Automated surface inspection for statistical textures
نویسندگان
چکیده
منابع مشابه
Automated surface inspection for statistical textures
In this paper we present a global approach for the automatic inspection of defects in randomly textured surfaces which arise in sandpaper, castings, leather, and many industrial materials. The proposed method does not rely on local features of textures. It is based on a global image reconstruction scheme using the Fourier transform. Since a statistical texture has the surface of random pattern,...
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A global image restoration scheme using nonnegative matrix factorization (NMF) is proposed in this paper. This NMF-based image restoration scheme can be used for inspecting the defects in directional texture surfaces automatically. Decomposing the gray level of image pixels into an ensemble of row vectors, we first reduce the data set from original data space into a lowerdimensional NMF space. ...
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In this paper we present a machine vision system for automatic inspection of defects in textured surfaces found in industry. The defects to be inspected are those that appear as local anomalies embedded in a homogeneous texture. The proposed method is based on a Gabor filtering scheme that computes the output response of energy from the convolution of a textured image with a specific Gabor filt...
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ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 2003
ISSN: 0262-8856
DOI: 10.1016/s0262-8856(03)00007-6