article · Journal of Optical Technology · 2020

Image classification using local binary patterns

Cited by 1Abstract and details only

Abstract

An image-classification algorithm based on an alphabet of local binary patterns is described. The efficiency of the proposed algorithm is demonstrated using a test image set of handwritten digits (MNIST). A comparison of the algorithm’s properties with similar results to those of convolutional artificial neural networks is presented.

Cite this paper

APA 7

Пронин, С. В. (2020). Image classification using local binary patterns. Journal of Optical Technology, 87(12), 738. https://doi.org/10.1364/jot.87.000738

MLA 9

Пронин, С. В. “Image classification using local binary patterns.” Journal of Optical Technology, vol. 87, no. 12, 2020, p. 738, https://doi.org/10.1364/jot.87.000738.

Chicago

Пронин, С. В. 2020. “Image classification using local binary patterns.” Journal of Optical Technology 87 (12): 738. https://doi.org/10.1364/jot.87.000738.

Harvard

Пронин, С.В. (2020) ‘Image classification using local binary patterns’, Journal of Optical Technology, 87(12), p. 738. Available at: https://doi.org/10.1364/jot.87.000738.

BibTeX

@article{anon2020image,
  title = {{Image classification using local binary patterns}},
  author = {Пронин, С. В.},
  journal = {Journal of Optical Technology},
  volume = {87},
  number = {12},
  pages = {738},
  year = {2020},
  doi = {10.1364/jot.87.000738}
}

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