Reep R L, Creegan W J
Department of Physiological Sciences, JHMHC, University of Florida, Gainesville 32610.
Comput Biomed Res. 1988 Jun;21(3):244-67. doi: 10.1016/0010-4809(88)90031-6.
A grain counting algorithm has been developed for use with an image analysis system interfaced with a microscope. The algorithm consists of a sequence of tests involving thresholding, prospective grain center detection, contrast, and three kinds of artifact detection. The function of each of these parameters is described. This algorithm is accurate to within 4% for those fields most frequently encountered, and to within 9% for all fields examined. Furthermore, it operates very quickly and at relatively low magnification, making it possible to scan large areas efficiently.
已经开发出一种颗粒计数算法，用于与连接显微镜的图像分析系统配合使用。该算法由一系列测试组成，包括阈值处理、预期颗粒中心检测、对比度和三种伪像检测。描述了这些参数各自的功能。对于最常遇到的那些视野，该算法的准确率在4%以内，对于所有检查的视野，准确率在9%以内。此外，它运行速度非常快，且在相对较低的放大倍数下即可运行，从而能够高效地扫描大面积区域。
