Kokulan, Natkunam, Lai, Choi-Hong ORCID: 0000-0002-7558-6398 and Jaipu-Persad, David (2011) Design of an image processing interface to existing CFD software platforms. Advances in Intelligent and Soft Computing, 102. pp. 93-103. ISSN 1867 5662 (online) (doi:https://doi.org/10.1007/978-3-642-23154-4_11)

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Abstract

Image processing has largely been done via MATLAB and other programming languages, such as JAVA and C, implementing those Partial Differential Equation (PDE) models for denoising, smoothing, segmentation and restoration. This involves significant effort in writing implementation coding and in designing robust algorithms for image processing activities. In order to avoid such repeated effort such as algorithmic development for numerical solutions of PDE, we propose to use existing software packages which provide very good platforms of PDE solvers. Two commercial software platforms, namely PHYSICA3G and ANSYS, are examined. The former one allows a better interaction to the background coding and the latter one does not allow flexible user interaction with the background. This paper describes the implementation of PDE image processing models on and the design of a user interface with two very different software platforms, taking the advantage of the existing PDE solvers within them. The design logic is discussed in the paper along with numerical experiments on a number of methods, including isotropic model and anisotropic model for denoising and smoothing. Several pictures are used in the numerical experiments and the resulting PSNR ratios are obtained and compared with other work in the literature.

Item Type:	Article
Additional Information:	Special Edition Entitled: IMAGE PROCESSING AND COMMUNICATIONS CHALLENGES 3
Uncontrolled Keywords:	image, algorithms, algorithmic development, PHYSICA3G, ANSYS, isotropic model, anisotropic model
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:	Publisher
Last Modified:	14 Oct 2016 09:18
URI:	http://gala.gre.ac.uk/id/eprint/7407

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