Algorithms image segmentation are based on the matrixes of coincidences

Authors

  • Ілона Анатоліївна Ревенчук Kharkiv National University of Radioelectronics Lenina 14, Kharkov, 61166, Ukraine
  • Віктор Миколайович Білоконенко Kharkiv National University of Radioelectronics Lenina 14, Kharkov, 61166, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.12355

Keywords:

Image recognition, texture segmentation of images, vector characteristics

Abstract

The algorithm of image segmentation method with matrix of coincidences for images with a pronounced texture is describe in the article. Database of standard textures and vectors in the method of the matrix coincidences recognition of textures are used. As with segmentation, the original image is divided into fragments of a certain size. For each fragment to created a vector of characteristics.

Then, the resulting vector with standard vectors is compared. The decision on belonging fragments input image texture classes is taken after comparison. Creating a class texture feature vectors are compared fragments with a random vector - a benchmark. To improve the process, you can improve the vector - a benchmark

Author Biographies

Ілона Анатоліївна Ревенчук, Kharkiv National University of Radioelectronics Lenina 14, Kharkov, 61166

Associated Professor

Department of Software Engineering

Віктор Миколайович Білоконенко, Kharkiv National University of Radioelectronics Lenina 14, Kharkov, 61166

Graduate student

Department of Software Engineering

References

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Published

2013-04-25

How to Cite

Ревенчук, І. А., & Білоконенко, В. М. (2013). Algorithms image segmentation are based on the matrixes of coincidences. Eastern-European Journal of Enterprise Technologies, 2(2(62), 43–45. https://doi.org/10.15587/1729-4061.2013.12355

Issue

Vol. 2 No. 2(62) (2013): Information technology

Section

Information technology

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