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图像处理的模型控制:瞳孔测量法。

Model control of image processing: pupillometry.

作者信息

Nguyen A H, Stark L W

机构信息

Telerobotics Unit, University of California, Berkeley 94720.

出版信息

Comput Med Imaging Graph. 1993 Jan-Feb;17(1):21-33. doi: 10.1016/0895-6111(93)90071-t.

Abstract

Smart instruments require on-line computers, special purpose hardware, or both. A pupillometer is described that relies only on a general purpose microcomputer with a frame grabber to process infrared video camera pictures of the human eye. An essential feature of the instrument is that a top-down model controls the image processing algorithms. The model generates regions of interest, ROIs, positioned from knowledge of anatomy and optics of the eye and information from previously analyzed frames. Within these adaptively controlled ROIs, fast, run-time algorithms automatically calculate local thresholds, area measurements, moments for centroid position information, and use pyramiding to shorten calculation time for large pupils. Outputs are precise measurements of pupil size and eye position in real time, with adequate bandwidth for most purposes.

摘要

智能仪器需要在线计算机、专用硬件或两者兼备。本文介绍了一种瞳孔计,它仅依赖于带有图像采集卡的通用微型计算机来处理人眼的红外摄像机图像。该仪器的一个基本特征是采用自上而下的模型来控制图像处理算法。该模型根据眼睛的解剖学和光学知识以及来自先前分析帧的信息生成感兴趣区域(ROI)。在这些自适应控制的ROI内,快速的运行时算法会自动计算局部阈值、面积测量值、质心位置信息的矩,并使用金字塔算法来缩短大瞳孔的计算时间。输出结果是实时精确测量的瞳孔大小和眼睛位置,具有满足大多数用途的足够带宽。

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