【摘要】 简述计算机图像形态测量中的校准与归一化原理及应用。当摄入图像进入计算机时，由于不同的图像摄入时放大倍数不同，且具有不同的长宽比例。此外，经计算机测量出的数据没有量纲。为此，在摄入图像时，放置一个由三个坐标点组成的比例尺在原图象上，据该比例尺可以对所有图象进行校准，且可归一化所有测量结果使其具有相同的量纲。本文给出了详细的数学推导过程，且将该原理应用到具体的形态测量系统中，取得了满意的结果。更多还原

【Abstract】 his paper describes the principal and application of calibration and Normalization for the morphological measurement of computer images. When a camera grabs images into computers,different focal lengths of the camera result in different magnifying factors and different ratios of image height to width, and make measurement data without any dimension. To solve above problems, a scale is put on each image to calibrate all images and normalize all measurement data when grabbing. According to that scale, all the images can be calibrated and all measurement data can be normalized. This paper gives their mathematical reasoning and their practical applications in the morphological measurement for computer images.更多还原