以图象的相关系数为量化参数,讨论了像素的空间和灰度相关性,建立了直方图正态分布叠加模型,在此基础上,构造了基于灰度直方图的多灰度等级图象分割算法。该算法计算量小、实时性强,可应用于基于计算机视觉的实时检测系统。 Based on the correlation coefficient of the image as the quantization parameter, the correlation between the spatial and the gray level of the pixel was discussed and the histogram normal distribution superposition model was established. Based on this, a multi-grayscale image based on the gray histogram Segmentation algorithm. The algorithm has a small amount of computation and real-time performance and can be applied to real-time detection system based on computer vision.