Tezislər / Theses

THE 3
rd
 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
179
Figure 1. 
The flow diagram for the procedure 
References 
[1] Preethi, M., and R. Vanithamani. "Review of retinal blood vessel detection methods for 
automated diagnosis of Diabetic Retinopathy." International Conference on Advances in 
Engineering, Science and Management IEEE, 2012:262-265 
[2] M. Foracchia, E. Grisan, and A. Ruggeri, “Detection of optic disc in retinal images by 
means of a geometrical model of vessel structure,” 
IEEE Transactions on Medical 
Imaging
, vol. 23 
[3] https://en.wikipedia.org/wiki/Principal_component_analysis 
[4] https://en.wikipedia.org/wiki/CIELAB_color_space 
[5] F. Zana and J.-C. Klein, “Segmentation of vessel-like patterns using mathematical 
morphology and curvature evaluation,” 
IEEE Transactions on Image Processing
, vol. 10, 
no. 7, pp. 1010–1019, 2001. 
[6] https://en.wikipedia.org/wiki/Adaptive_histogram_equalization 
[7] S. M. Zabihi, M. Delgir, and H. R. Pourreza, “Retinal vessel segmentation using color 
image morphology and local binary patterns,” in 
2010 6th Iranian Conference on Machine 
Vision and Image Processing
, Isfahan, Iran, October 2010. 
 
 
 
REAL-TIME FACE DETECTION ON A RASPBERRY PI 
Eshgin Mammadov 
Baku Higher Oil School 
Baku, Azerbaijan 
[e-mail] 
Supervisor: PhD, Associate Professor Leyla Muradkhanli 
Keywords: 
Face Detection, Viola-Jones algorithm, Raspberry Pi, OPENCV 
The rapid pace in development of technology in recent years makes the 
computer-human interaction a key part for exploring various fields. One