Simple Eye Movement Image Analysis Technique Using NIH Image
Simple Eye Movement Image Analysis Technique Using NIH Image
复制标题
使用 NIH 图像的简单眼动图像分析技术
DOI：
10.3757/jser.61.90
复制
发表时间：
2002
影响因子：
--
通讯作者：
H. Yamashita
中科院分区：
文献类型：
--
作者：
Takuo Ikeda;Makoto Hashimoto;Osamu Horiike;H. Yamashita
我们设计了一种新的三维眼动图像分析技术，使用商业化的红外CCD相机，个人计算机和公共领域的软件。使用公共领域软件NIH Image自动进行图像分析。对于水平和垂直分量的分析，计算瞳孔的XY中心。为了分析扭转分量，将每旋转0.1度的整个虹膜图案与下一虹膜图案的相同区域重叠，并计算两个虹膜图案显示最大匹配的角度。利用坐标变换技术从三维数据中计算眼球的旋转轴。作为人造眼运动图像的分析结果，扭转分量的平均误差为每1秒0.06+/-0.09度，5秒0.31+/-0.46度。使用该技术，可以根据由多种类型的红外CCD照相机记录的视频图像廉价地执行三维眼动分析和旋转轴分析。
We devised a new three-dimensional eye movement image analysis technique using a commercialized infrared CCD camera, a personal computer and public domain software. Image analysis was performed automatically using the public domain software NIH Image. For analysis of horizontal and vertical components, the XY center of the pupil was calculated. For analysis of the torsional component, the whole iris pattern, which was rotated each 0.1 degrees, was overlaid with the same area of the next iris pattern, and the angle at which both iris patterns showed the greatest match was calculated. Rotational axis of the eyeball was calculated from three-dimensional data using the coordinates transformation technique. As a result of the analysis of artificial eye movement images, the average error of the torsional component was 0.06+/-0.09 degrees for each 1 second, and was 0.31+/-0.46 degrees for 5 seconds. Using this technique, it is possible to inexpensively perform three-dimensional eye movement analysis and rotational axis analysis from video images recorded by many types of infrared CCD cameras.