A Texture Analysis Approach to Corrosion Image Classi cation
نویسندگان
چکیده
A method is described for the classi cation of corrosion images using texture analysis methods. Two morphologies are considered: pit formation and cracking. The analysis is done by performing a wavelet decomposition of the images, from which energy feature sets are computed. A transform that turns the wavelet features into rotation invariant ones is introduced. The classi cation is performed with a Learning Vector Quantization network and comparison is made with Gaussian and k-NN classi ers. The e ectivity of the method is shown by tests on a set of 398 images.
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