| Citation: | XING Li-na, KONG Wen, TANG Ning, CHEN Yi-wei, SHI Guo-hua, HE Yi. Visible light pupil localization and alignment method for fundus imaging[J]. Chinese Optics. doi: 10.37188/CO.2024-0065
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To mitigate reliance on operators during fundus imaging, an automated rapid localization and alignment method for the human pupil was proposed for visible light pupil imaging.
Initially, the pupil alignment device was constructed on the laboratory fundus imaging system using a visible light camera module and a three-axis motorized displacement stage.Subsequently, the effective area of the image was extracted using the Hough gradient method to determine the center of the fundus imaging system. The pupil region was identified through the maximum inter-class variance method and image histogram feature, while the center of the pupil was ascertained via the minimum circle fitting method. Ultimately, the electric displacement stage's movement is regulated through feedback mechanisms, ensuring that the center of the fundus imaging system aligns precisely with the pupil's center.
The experimental results show that the average recognition speed of human pupil is 0.11s, the average recognition accuracy of the pupil center is 98.7%, and the average Euclidean distance of the center deviation is 4.3 pixels.
It can satisfy the system requirements of the real-time and accuracy, and provides an efficient automatic pupil alignment solution for fundus imaging system.
| [1] |
汪路涵, 巩岩, 张艳微, 等. 人眼自动对焦及瞳孔中心自动对准系统[J]. 光学学报,2023,43(5):0511002. doi: 10.3788/AOS221703
WANG L H, GONG Y, ZHANG Y W, et al. Human eye autofocus and pupil center auto-alignment system[J]. Acta Optica Sinica, 2023, 43(5): 0511002. (in Chinese). doi: 10.3788/AOS221703
|
| [2] |
王鹏, 温宏韬, 王世龙. 基于近眼红外图像的高精度瞳孔中心定位方法[J]. 哈尔滨理工大学学报,2022,27(5):38-46.
WANG P, WEN H T, WANG SH L. High-precision pupil center positioning method based on near-eye infrared image[J]. Journal of Harbin University of Science and Technology, 2022, 27(5): 38-46. (in Chinese).
|
| [3] |
蔡怀宇, 史玉, 娄世良, 等. 应用于红外眼科疾病检测的瞳孔定位算法[J]. 中国光学,2021,14(3):605-614. doi: 10.37188/CO.2020-0170
CAI H Y, SHI Y, LOU SH L, et al. Pupil location algorithm applied to infrared ophthalmic disease detection[J]. Chinese Optics, 2021, 14(3): 605-614. (in Chinese). doi: 10.37188/CO.2020-0170
|
| [4] |
王晶, 高峰, 李婉越, 等. 瞳孔中心点自动定位与对准装置[J]. 光学 精密工程,2019,27(6):1370-1377. doi: 10.3788/OPE.20192706.1370
WANG J, GAO F, LI W Y, et al. Device for automatic pupil center location and alignment[J]. Optics and Precision Engineering, 2019, 27(6): 1370-1377. (in Chinese). doi: 10.3788/OPE.20192706.1370
|
| [5] |
CHEN G ZH, DONG ZH H, WANG J, et al. Pupil localization algorithm based on improved U-Net network[J]. Electronics, 2023, 12(12): 2591. doi: 10.3390/electronics12122591
|
| [6] |
XUE P X, WANG CH Y, HUANG W B, et al. Pupil Centre's localization with transformer without real pupil[J]. Multimedia Tools and Applications, 2023, 82(16): 25467-25484. doi: 10.1007/s11042-023-14403-3
|
| [7] |
王鉴, 张荣福. 基于可变形卷积的单帧图像眼球定位追踪[J]. 光学仪器,2021,43(6):26-31.
WANG J, ZHANG F R. Single-frame image eyeball tracking based on deformable convolution[J]. Optical Instruments, 2021, 43(6): 26-31. (in Chinese).
|
| [8] |
张贺童, 姚康, 裴融浩, 等. 基于ADEU-Net分割网络的瞳孔精确分割方法[J]. 计算机工程与应用,2023,59(2):212-221.
ZHANG H T, YAO K, PEI R H, et al. Accurate pupil segmentation based on ADEU-Net segmentation network[J]. Computer Engineering and Applications, 2023, 59(2): 212-221. (in Chinese).
|
| [9] |
张宏薇, 王仕洋, 李宪龙, 等. 基于Hough变换的瞳孔识别方法研究与实现[J]. 液晶与显示,2016,31(6):621-625. doi: 10.3788/YJYXS20163106.0621
ZHANG H W, WANG SH Y, LI X L, et al. Research and implementation of pupil recognition based on Hough transform[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(6): 621-625. (in Chinese). doi: 10.3788/YJYXS20163106.0621
|
| [10] |
ABDULLAH M A M, DLAY S S, WOO W L. Fast and accurate pupil isolation based on morphology and active contour[J]. International Journal of Information and Electronics Engineering, 2014, 4(6): 418-422.
|
| [11] |
JAN F, USMAN I, AGHA S. Iris localization in frontal eye images for less constrained iris recognition systems[J]. Digital Signal Processing, 2012, 22(6): 971-986. doi: 10.1016/j.dsp.2012.06.001
|
| [12] |
陈静瑜, 林丽媛, 刘冠军, 等. 一种基于几何形状特征的实时瞳孔定位追踪技术[J]. 天津科技大学学报,2021,36(3):65-71.
CHEN J Y, LIN L Y, LIU G J, et al. A real-time pupil positioning and tracking technology based on geometric shape features[J]. Journal of Tianjin University of Science & Technology, 2021, 36(3): 65-71. (in Chinese).
|
| [13] |
WAN ZH H, XIONG C H, CHEN W B, et al. Robust and accurate pupil detection for head-mounted eye tracking[J]. Computers & Electrical Engineering, 2021, 93: 107193.
|
| [14] |
童言, 穆平安, 林玉莹. 基于圆形滑动窗口的瞳孔定位算法[J]. 电子测量技术,2021,44(2):99-103.
TONG Y, MU P A, LIN Y Y. Pupil location algorithm based on circular sliding window[J]. Electronic Measurement Technology, 2021, 44(2): 99-103. (in Chinese).
|
| [15] |
MIN-ALLAH N, JAN F, ALRASHED S. Pupil detection schemes in human eye: a review[J]. Multimedia Systems, 2021, 27(4): 753-777. doi: 10.1007/s00530-021-00806-5
|
| [16] |
JAN F, USMAN I, AGHA S. Reliable iris localization using Hough transform, histogram-bisection, and eccentricity[J]. Signal Processing, 2013, 93(1): 230-241. doi: 10.1016/j.sigpro.2012.07.033
|
| [17] |
KHAN T M, KHAN M A, MALIK S A, et al. Automatic localization of pupil using eccentricity and iris using gradient based method[J]. Optics and Lasers in Engineering, 2011, 49(2): 177-187. doi: 10.1016/j.optlaseng.2010.08.020
|
| [18] |
LIN ZH H, YU H F. The pupil location based on the OTSU method and Hough transform[J]. Procedia Environmental Sciences, 2011, 8: 352-356. doi: 10.1016/j.proenv.2011.10.055
|
| [19] |
ZHOU W J, LU X Y, WANG Y. A robust pupil localization via a novel parameter optimization strategy[J]. Wireless Communications and Mobile Computing, 2022, 2022: 2378911.
|
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