Abstract
This paper studies the Fractional Kalman Filter and its applications to the extraction of image texture in electronic image processing. Firstly, with the introduction of fractional calculus, Fractional recursive equation is presented. Next, a state space model of a given image and, based on this, the Fractional Kalman Filter algorithm are proposed. Finally, an example of electronic image processing is given to demonstrate the effectiveness of proposed algorithm and the simulation result shows that the details of the image are enhanced, while the background noise of the image is attenuated efficiently.
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Wang, Z., Ma, X. (2013). Research on the Extraction of Image Texture Based on Fractional Kalman Filter Algorithm in Electronic Image Processing. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31528-2_83
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DOI: https://doi.org/10.1007/978-3-642-31528-2_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31527-5
Online ISBN: 978-3-642-31528-2
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