Pupil Center Detection Using Radial Symmetry Transform to Measure Pupil Distance in the Eye

Document Type : Special Issue for INCITEST 2024 Indonesia

Authors

Faculty of Engineering and Computer Science, Universitas Komputer Indonesia, Bandung, Indonesia

Abstract

In patients with refractive errors or impaired vision, light rays received by the pupil do not fall directly onto the retina. This can be corrected by wearing monocled glasses. The focal point of the eyeglass lens needs to be adjusted to the center of the user's pupil. This can be known through the measured pupil distance (PD) value information. The measurement of the PD is very important to determine the center distance of the pupils in both eyes. where the eye does not experience the prism effect. This study aims to apply the radial symmetry transformation (RST) method combined with self-quotient (SQI) imagery to detect the pupillary center and measure PD. This algorithm combines to get more optimal results in detecting the center of the pupil in dark conditions or those exposed to shadow illumination. The program created using the MATLAB software simulates PD measurements for pupillary center detection in bright and dark images conditions. The test was carried out ten times, and the results showed that the system was able to measure PD on low-resolution images of 300 x 300 pixels at 72 dpi in bright image conditions; with measurement uncertainty values in each image of 0.60 mm. As for testing on dark images, the uncertainty values are 0.80 mm. In this case, the standard deviation value is obtained from the effect of the different dimensions of the face object on the tested image.

Keywords

References

  1. Husna, H.N., Bambang, F., Sari, D.L. and JaNarta, A.R.O.L., "Penyimpangan titik pusat optik lensa (OC) dengan jarak pupil (PD) pemakai kacamata", Wahana Fisika, Vol. 3, No. 2, (2018), 124-135.
  2. Husna, H.N., Yulianti, A.M. and Milataka, I., "Efek prisma pada pemakai kacamata single vision", Jurnal Ilmu Fisika, Vol. 12, No. 2, (2020), 98-104.
  3. Toma, T., Abdillah, B.R. and Simarmata, M.M., "Pentingnya pengukuran pupil distance (PD) secara tepat untuk menjaga akurasi distance vitror (DV) kacamata", Jurnal Mata Optik, Vol. 2, No. 2, (2021), 19-27.
  4. Tegar, L.S. and Utama, J., Rancang bangun sistem informasi lahan parkir kendaraan roda empat di unikom berbasis image processing designed build information system in unikom four-wheeled parking lot based on image processing. 2016, Telekontran.
  5. Sai Viswanathan, M. and Manoj Kumar, V., "Modelling of eyeball with pan/tilt mechanism and intelligent face recognition using local binary pattern operator", International Journal of Engineering, Transactions A: Basics, Vol. 30, No. 7, (2017), 1098-1104. doi: 10.5829/ije.2017.30.07a.20.
  6. Harto, D. and Rahmani, M.Z., "Sistem pengenalan wajah dengan metode eucliden distance", Elektrika Borneo, Vol. 5, No. 2, (2019), 16-26.
  7. Vázquez Romaguera, T., Vázquez Romaguera, L., Castro Piñol, D. and Vázquez Seisdedos, C.R., "Pupil center detection approaches: A comparative analysis", Computación y Sistemas, Vol. 25, No. 1, (2021), 67-81. https://doi.org/10.13053/cys-25-1-3385
  8. Utama, J. and Riki, D., "Implementasi sistem pendeteksi target berdasarkan pengenalan warna dan pola untuk robot pengikut bola", Telekontran: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan, Vol. 5, No. 2, (2017), 107-117.
  9. Skodras, E. and Fakotakis, N., "An accurate eye center localization method for low resolution color imagery", in 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, IEEE. Vol. 1, (2012), 994-997.
  10. Loy, G. and Zelinsky, A., "A fast radial symmetry transform for detecting points of interest", in Computer Vision—ECCV 2002: 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part I 7, Springer., (2002), 358-368.
  11. Lyasheva, S., Shleymovich, M. and Shakirzyanov, R., "The image analysis using fast radial symmetry transform in control systems base on the computer vision", in 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), IEEE., (2019), 1-6.
  12. Ram, S. and Rodriguez, J.J., "Size-invariant detection of cell nuclei in microscopy images", IEEE Transactions on Medical Imaging, Vol. 35, No. 7, (2016), 1753-1764. doi: 10.1109/TMI.2016.2527740.
  13. Zafari, S., Eerola, T., Sampo, J., Kälviäinen, H. and Haario, H., "Segmentation of overlapping elliptical objects in silhouette images", IEEE Transactions on Image Processing, Vol. 24, No. 12, (2015), 5942-5952. doi: 10.1109/TIP.2015.2492828.
  14. Wang, H., Li, S.Z., Wang, Y. and Zhang, J., "Self quotient image for face recognition", in 2004 International Conference on Image Processing, 2004. ICIP'04., IEEE. Vol. 2, (2004), 1397-1400.
  15. Wang, H., Li, S.Z. and Wang, Y., "Face recognition under varying lighting conditions using self quotient image", in Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., IEEE., (2004), 819-824.
  16. Arandjelović, O., "Making the most of the self-quotient image in face recognition", in 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), IEEE. (2013), 1-7.
  17. Gunawan, A.A. and Setiadi, H., "Handling illumination variation in face recognition using multiscale retinex", in 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS), IEEE. (2016), 470-475.
  18. Nishom, M., "Perbandingan akurasi euclidean distance, minkowski distance, dan manhattan distance pada algoritma k-means clustering berbasis chi-square", Jurnal Informatika, Vol. 4, No. 01, (2019), 20-24.
  19. Hassanpour, H. and Ghasemi, M., "A three-stage filtering approach for face recognition", International Journal of Engineering, Transactions B: Applications, Vol. 34, No. 8, (2021), 1856-1864. doi: 10.5829/IJE.2021.34.08B.06.
International Journal of Engineering
Volume 36, Issue 5
TRANSACTIONS B: Applications
May 2023
Pages 870-878

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