基于高斯模型拟合的图像分割算法的实现

Realization of Image Segmentation Algorithm Based on Gauss Model

图像分割算法是计算机图像检测和视频监控的重要组成部分,其目的是为了最大限度的让检测目标与背景分离,以便于系统可以准确的提取目标并做进一步处理。基于高斯模型拟合的自适应阈值算法可以将数据间的干扰降到最低,提高Gauss拟合模型的精度,适用于各种复杂背景环境下的图像分割。

Image segmentation is an important part of computer image detection and video surveillance, whose objective is to separate the detection target from the background to the greatest extent in convenience for the system to correctly extract and further process targets. The adaptive threshold algorithm based on Gauss model can minimize the interference between data and improve the accuracy of Gauss fitting model, suitable for image segmentation under various complex background environments.