PROCESSING THE IMAGES OF DISPERSIVE STRUCTURES BY IRREGULAR PYRAMID

Authors

  • Tatiana Ruzova O. Gonchar Dnepropetrovsk National University
  • Vladimir Yeliseyev O. Gonchar Dnepropetrovsk National University
  • Alexander Tolstopyat O. Gonchar Dnepropetrovsk National University
  • Leonid Fleer O. Gonchar Dnepropetrovsk National University

DOI:

https://doi.org/10.14738/aivp.11.23

Keywords:

Segmentation, Filtration, Video images, Dispersed formations, Irregular pyramid

Abstract

The paper deals with the improvement of irregular pyramid method for processing images of dispersed formations and other microscopic objects. The method is based on the natural aggregation of adjacent image areas from one pyramid level to another and can process noisy images of different sized objects  with non uniform brightness. The developed method combines image segmentation, filtration and  binarization  operations.

There is made analysis of topological problems caused by applying the different types of pixels connectivity. Algorithms determining the adjacent  image areas and internal hollows in connected pixel sets are designed on the basis of analysis. Proposed algorithms may be applied to local image segmentation. Using algorithms for constructing different hierarchical levels of Meer pyramid and dispersed formations images segmentation will provide more precise objects structure  and avoid overdetalization.

There is proposed method for sliding window size evaluation for local segmentation methods applied to processing dispersion environments images by irregular pyramids method. 

Author Biography

Tatiana Ruzova, O. Gonchar Dnepropetrovsk National University

Faculty of mechanics and mathematics,

Doctor of Science,

Senior Researcher

References

Gonzales, R.C. and Woods, R.E. (2005) Digital Image Processing, Tekhnosfera, Moscow, Russia.

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Jun Zhang and Jinglu Hu (2008) “Image Segmentation Based on 2D Otsu Method with Histogram Analysis”, International Conference on Computer Science and Software Engineering, Wuhan, Hubei, Vol. 6, pp. 105-108.

Ruzova, T., Yeliseyev, V., Tolstopyat, A. and Fleer, L. (2013) “Evaluating Geometrical Parameters of Disperse Structures by the Images”, Signal Processing Research, Vol. 2, Issue: 2, pp. 49 – 54.

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Arhangelsky, A.Ya. (2000) Delphi 5 programming, ZAO “Izdatelstvo BINOM”, Moscow, Russia.

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Published

2013-12-20

How to Cite

Ruzova, T., Yeliseyev, V., Tolstopyat, A., & Fleer, L. (2013). PROCESSING THE IMAGES OF DISPERSIVE STRUCTURES BY IRREGULAR PYRAMID. European Journal of Applied Sciences, 1(1). https://doi.org/10.14738/aivp.11.23