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Research Papers: Fractal Engineering and Biomedicine

Three-Dimensional Reconstruction of Blood Vessels of the Human Retina by Fractal Interpolation

[+] Author and Article Information
Hichem Guedri

Electronics and Microelectronics Laboratory,
Faculty of Science,
Monastir 5019, Tunisia
e-mail: himougu@yahoo.fr

Jihen Malek

Electronics and Microelectronics Laboratory,
Faculty of Science,
Monastir 5019, Tunisia
e-mail: Jihenemalek14@gmail.com

Hafedh Belmabrouk

Electronics and Microelectronics Laboratory,
Faculty of Science,
Monastir 5019, Tunisia
e-mail: hafedh.belmabrouk@fsm.rnu.tn

Manuscript received June 21, 2015; final manuscript received November 30, 2015; published online March 17, 2016. Assoc. Editor: Charalabos Doumanidis.

J. Nanotechnol. Eng. Med 6(3), 031003 (Mar 17, 2016) (5 pages) Paper No: NANO-15-1047; doi: 10.1115/1.4032170 History: Received June 21, 2015; Revised November 30, 2015

In this work, data from two-dimensional (2D) images of the human retina were taken as a case study. First, the characteristic data points had been removed using the Douglas–Peucker (DP) method, and subsequently, more data points were added using random fractal interpolation approach, to reconstruct a three-dimensional (3D) model of the blood vessel. By visualizing the result, we can see that all the small blood vessels in the human retina are more visible and detailed. This algorithm of 3D reconstruction has the advantage of being fast with calculation time less than 40 s and also can reduce the 3D image storage level on a disk with a reduction ratio between 78% and 96.65%.

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References

Figures

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Fig. 1

(a) Original image, (b) the skeleton of image, and (c) pixel classification

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Fig. 2

The different stages of DP algorithm

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Fig. 3

Three-dimensional circle

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Fig. 4

Example of a raw image in jpeg

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Fig. 5

Douglas-Peucker (DP) algorithm for ε = 1 (the rectangle symbol represents the: characteristic point and white pixel: blood vessel)

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Fig. 6

Three-dimensional fractal interpolation example

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Fig. 7

The different stages of reconstruction 3D with fractal interpolation

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