The Multifractal Analysis Approach for Photogrammetric Image Edge Detection

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Author(s)

Olga V. Spirintseva 1,*

1. Oles Honchar Dnipropetrovsk National University, Dnipropetrovsk, Ukraine

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2016.12.01

Received: 26 Aug. 2016 / Revised: 1 Oct. 2016 / Accepted: 28 Oct. 2016 / Published: 8 Dec. 2016

Index Terms

Photogrammetric image, multifractal analysis, segmentation, Hölder exponent

Abstract

As rapidly the computer technology is being developed the fractals and fractal based analysis have received special popularity. Space photogrammetric snap-shots fixed in a number of electromagnetic radiation spectral ranges have their own special attributes as compared with color images in general. The aspects of photogrammetric images segmentation based on multifractal analysis are studied in this paper in order to extract the edges of the developed object optimally. The aim of the study is to research the way of fractal analysis based on pointwise Hölder exponent of photogrammetric images fixed in a number of spectrum ranges by iconic means of remote sensing. 

Cite This Paper

Olga V. Spirintseva,"The Multifractal Analysis Approach for Photogrammetric Image Edge Detection", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.12, pp.1-7, 2016. DOI: 10.5815/ijigsp.2016.12.01

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