Abstract
In this paper, an improved Roberts algorithm which combines the mean filter and wavelet denoising with Roberts operator is proposed for the poor anti-noise performance of the original Roberts algorithm. The algorithm is as follows: Firstly, mean filtering and wavelet-based soft-threshold algorithm is combined to denoise the image with Gaussian noises. Secondly, histogram equalization to highlight the edges. Thirdly, Roberts operator to detect edges. Experiments show that the algorithm is better than the traditional edge detection algorithms in edge detection of Gaussian noised image.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhao, D., Yang, L., Wu, X., Wang, N., Li, H. (2012). An Improved Roberts Edge Detection Algorithm Based on Mean Filter and Wavelet Denoising. In: Zeng, D. (eds) Advances in Information Technology and Industry Applications. Lecture Notes in Electrical Engineering, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26001-8_39
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DOI: https://doi.org/10.1007/978-3-642-26001-8_39
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-26000-1
Online ISBN: 978-3-642-26001-8
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