Wavelet method of edge detection in images with high-noise level

Authors

DOI:

https://doi.org/10.24136/tren.2020.009

Keywords:

characteristic features, detection of non-sharp edges, Haar-Gauss wavelet, wavelet transforms

Abstract

In the paper a mathematical model addressed to non-sharp edges in the images is proposed. This model is based on and integral transform with Haar-Gauss wavelet and matching algorithm of bandwidth, such model is used to detection of the edges in images with high-level noises, both in the x plane and the frequency domains. There is shown that applying the integral Haar-Gaussian transformation the detection of single and double edges is possible. Demonstrated in the paper results confirm that wavelet transform supported by the matching wavelet algorithm of wavelength bandwidth make an important exploration tool of the images with the edges possessing a large depth of sharpness.

References

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Published

2020-09-30

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Articles