Kim S, Cho J, Jung J, Kim S, Lim J, Nam T, Kim J
Department of Biomedical Engineering, Inje University, Kimhae, 621-749, Korea.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3188-91. doi: 10.1109/IEMBS.2005.1617153.
This paper proposes an algorithm that has been developed for the video-oculograph method. It is used to detect the center of the pupil, extracted from a captured image of an eye acquired by using a CCD camera and a computer with image grabber. The captured eye image is 640 by 480 pixels in size at 8 bits per pixel, in depth. The center of the pupil area could be obtained by applying the proposed algorithms for the threshold of the captured gray-scale image, for image enhancement and noise removing techniques even though the pupil area was partially covered by eyelashes and an eyelid.
本文提出了一种针对视频眼动图法开发的算法。该算法用于检测瞳孔中心，瞳孔中心是从使用电荷耦合器件（CCD）相机和带有图像采集卡的计算机获取的眼睛捕获图像中提取的。捕获的眼睛图像大小为640×480像素，每个像素深度为8位。即使瞳孔区域部分被睫毛和眼睑覆盖，通过对捕获的灰度图像应用所提出的算法进行阈值处理、图像增强和噪声去除技术，仍可获得瞳孔区域的中心。
