Medical Image Inpainting with RBF Interpolation Technique
Autor: | Saad Amin, Mashail Alsalamah |
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Rok vydání: | 2016 |
Předmět: |
General Computer Science
business.industry Computer science MathematicsofComputing_NUMERICALANALYSIS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Inpainting Process (computing) Stairstep interpolation 02 engineering and technology 021001 nanoscience & nanotechnology Matrix multiplication Nearest-neighbor interpolation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence 0210 nano-technology business ComputingMethodologies_COMPUTERGRAPHICS Interpolation Texture synthesis |
Zdroj: | International Journal of Advanced Computer Science and Applications. 7 |
ISSN: | 2156-5570 2158-107X |
DOI: | 10.14569/ijacsa.2016.070814 |
Popis: | Inpainting is a method for repairing damaged images or to remove unwanted parts of an image. While this process has been performed by professional artists in the past, today, the use of this technology is emerging in the medical area – especially in the medical imaging realm. In this study, the proposed inpainting method uses a radial basis function (RBF) interpolation technique. We first explain radial basis functions and then, the RBF interpolation system. This technique generally depends on matrix processes. Thus, matrix operations are executed after the interpolation and form a main part of the process. This interpolation matrix has a known value used for interpolating n values and we need to find M – 1 for the n + 1 values of the original and inserted data. Implementation of an inpainting operation is carried out in an object-oriented programming (OOP) language. This is where the process is completed. The algorithm used in this study has a graphical user interface. Further, several skin images are used for testing this system. The obtained output represents a high level of accuracy that can support the validity of the proposed method. |
Databáze: | OpenAIRE |
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