Abstract
Surface interpolation plays an important role in many applications of science and engineering. Usually the collected data are obtained from any observations or experimentation. These raw data need to be visualized by using some mathematical techniques to produce smooth curves or surfaces that resembles the original data sets. In this chapter, a new surface interpolation based on rational bi-quartic spline is constructed. Partially blended rational bi-quartic spline is employed on all four rectangular curves network. There are 12 free parameters for shape modification and refinement. From numerical results, the proposed scheme is highly accurate since the root mean square error (RMSE) is small and the resulting interpolating surface is smooth compared with some existing schemes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brodlie, K.W., Butt, S.: Preserving convexity using piecewise cubic interpolation. Comput. Graph. 15, 15–23 (1991)
Brodlie, K.W., Mashwama, P., Butt, S.: Visualization of surface data to preserve positivity and other simple constraints. Comput. Graph. 19(4), 585–594 (1995)
Sarfraz, M., Hussain, M.Z., Hussain, M.: Shape-preserving curve interpolation. Int. J. Comput. Math. 89(1), 35–53 (2012)
Beliakov, G.: Monotonicity preserving approximation of multivariate scattered data. BIT 45(4), 653–677 (2005)
Goodman, T.N.T., Ong, B.H., Unsworth, K.: Constrained interpolation using rational cubic splines. In: Farin, G. (ed.) NURBS for Curve and Surface Design, SIAM, Philadelphia, pp. 59–74 (1991)
Karim, S.A.A., Saaban, A., Skala, V.: Range-restricted surface interpolation using rational bi-cubic spline functions with 12 parameters. IEEE Access 7, 104992–105007 (2019). https://doi.org/10.1109/ACCESS.2019.2931454
Karim, S.A.A., Hasan, M.K., Hashim, I. (2019). Constrained interpolation using rational cubic spline with three parameters. Sains Malaysiana, 48(3), 685–695 (2019)
Wu, J., Zhang, X., Peng, L.: Positive Approximation and interpolation using compactly supported radial basis functions. Math. Prob. Eng. Article ID 964528, 10 (2010)
Wu, J., Lai, Y., Zhang, X.: Radial basis functions for shape preserving planar interpolating curves. J. Inf. Comput. Sci. 7(7), 1453–1458 (2010)
Han, X.: Convexity-preserving piecewise rational quartic interpolation. SIAM J Numer. Anal. 46(2), 920–929 (2008)
Zhu, Y., Han, X., Han, J.: Quartic trigonometric Bézier curves and shape preserving interpolation curves. J. Comput. Inf. Syst. 8(2), 905–914 (2012)
Zhu, Y., Han, X.: Shape preserving C2 rational quartic interpolation spline with two parameters. Int. J. Comput. Math. 92(10), 2160–2177 (2014)
Han, X.: Shape preserving piecewise rational interpolant with quartic numerator and quadratic denominator. Appl. Math. Comput. 251, 258–274 (2015)
Abbas, M., Majid, A.A., Awang, M.N.H., Ali, J.M.: Shape preserving positive surface data visualization by spline functions. Appl. Math. Sci. 6(6), 291–307 (2012)
Abbas, M., Majid, A.A., Ali, J.M.: Shape preserving rational bi-cubic function for positive data. World Appl. Sci. J. 18(11), 1671–1679 (2012)
Abbas, M., Majid, A.A., Ali, J.M.: Positivity-preserving rational bi-cubic spline interpolation for 3D positive data. Appl. Math. Comput. 234, 460–476 (2014)
Karim, S.A.A., Kong, V.P., Saaban, A.: Positivity preserving interpolation using rational bi-cubic spline. J. Appl. Math. Article ID 572768, 15. http://dx.doi.org/10.1155/2015/572768
Karim, S.A.A., Kong, V.P.: Shape preserving interpolation using rational cubic spline. Res. J. Appl. Sci. Eng. Technol. (RJASET) 8(2), 167–168 (2014)
Karim, S.A.A., Kong, V.P.: Convexity-preserving using rational cubic spline interpolation. Res. J. Appl. Sci. Eng. Technol. (RJASET) 8(3), 312–320 (2014)
Karim, S.A.A., Kong, V.P.: Monotonicity-preserving using rational cubic spline interpolation. Res. J. Appl. Sci. (RJAS) 9(4), 214–223 (2014)
Karim, S.A.A., Kong, V.P.: Shape Preserving interpolation using C2 rational cubic spline. J. Appl. Math. Article ID 4875358, 12 (2016). http://dx.doi.org/10.1155/2016/4875358
Harim, A., Karim, S.A.A, Othman. M., Saaban, A.: High accuracy data interpolation using rational quartic spline with three parameters. Int. J. Sci. Technol. Res. 1219–27432 (2019)
Delbourgo, R., Gregory, J.A.: The determination of derivative parameters for a monotonic rational quadratic interpolant. IMA J. Numer. Anal. 5, 397–406 (1985)
Zulkifli, N.A., Karim, S.A.A., Shafie, A., Sarfraz, M., Ghaffar, A., and Nisar, K.S.: Image interpolation using a rational bi-cubic Ball. Mathematics 7, 1045 (2019). https://doi.org/10.3390/math7111045
Acknowledgements
This work is fully supported by Universiti Teknologi PETRONAS (UTP) and Ministry of Education, Malaysia through research grant FRGS/1/2018/STG06/UTP/03/1015MA0-020. Special thank you to UTP for providing MATLAB software for computer implementation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Karim, S.A.A., Izhar, L.I., Othman, M., Zainuddin, N. (2021). Surface Interpolation Using Partially Blended Rational Bi-Quartic Spline. In: Abdul Karim, S.A. (eds) Theoretical, Modelling and Numerical Simulations Toward Industry 4.0. Studies in Systems, Decision and Control, vol 319. Springer, Singapore. https://doi.org/10.1007/978-981-15-8987-4_4
Download citation
DOI: https://doi.org/10.1007/978-981-15-8987-4_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8986-7
Online ISBN: 978-981-15-8987-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)