Improved Edge Detection Algorithms Based on a Riesz Fractional Derivative

Author:

Georgescu Carmina

Publisher

Springer International Publishing

Reference8 articles.

1. Amoako-Yirenkyi, P., Appati, J.K., Dontwi, I.K.: Performance analysis of image smoothing techniques on a new fractional convolution mask for image edge detection. Open J. Appl. Sci. 6, 478–488 (2016)

2. Amoako-Yirenkyi, P., Appati, J.K., Dontwi, I.K.: A new construction of a fractional derivative mask for image edge analysys based on Riemann-Liouville fractional derivative. Adv. Differ. Equ. 238, 1–23 (2016)

3. Chiwueze, O.I., Cloot, A.: Possible application of fractional order derivative to image edges detection. Life Sci. J. 10(4), 171–176 (2013)

4. Jiang, W., Ding, Z.-Q., Liu, Y.-E.: New image edge detection model based on fractional-order partial differentiation. J. Comput. Appl. 10, 2848–2858 (2012)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);X Ma,2012

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