k-NN IMAGE SEGMENTATION
DOI:
https://doi.org/10.24867/04JV02GraovacKeywords:
Image segmentation, k-NN algorithm, MATLAB, mathematicsAbstract
The main subject of the papir is application of k-NN algorithm for image segmentation. Theoretical basis of digital image processing is given in the beginning. The rest of the papir focuses on the description and the application of the algorighm in MATLAB. Finally, in the appendix, definitions, theorems and proofs for deeper mathematical understanding are given.
References
[1] R. Gonzalez, R. Woods, “Digital Image Processing”, London, Pearson, 2017.
[2] N.S. Altman,“An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression“, Riverside, The American Statistician, Vol. 46, No. 3, pp. 175-185, 1992.
[3] K.Q. Weinberger, J. Blitzer, L.K. Saul, “Distance Metric Learning for Large Margin Nearest Neighbor Classification”, Philadelphia, 2006.
[4] J. Goldberger, S. Roweis, G. Hinton, R. Salakhudinov, “Neighbourhood Components Analysis“, Toronto, 2005.
[2] N.S. Altman,“An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression“, Riverside, The American Statistician, Vol. 46, No. 3, pp. 175-185, 1992.
[3] K.Q. Weinberger, J. Blitzer, L.K. Saul, “Distance Metric Learning for Large Margin Nearest Neighbor Classification”, Philadelphia, 2006.
[4] J. Goldberger, S. Roweis, G. Hinton, R. Salakhudinov, “Neighbourhood Components Analysis“, Toronto, 2005.
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Published
2019-10-01
Issue
Section
Mathematics in Engineering
