Background extraction algorithm based on K-means clustering algorithm and histogram analysis

Background extraction is a fundamental task in many computer vision applications. This paper presents a novel method based on K-means Clustering Algorithm. First, the intensity values are divided into several groups by clustering method automatically. Then the mean of intensities in the most frequent group is assigned as the background intensity. The experiment results show that the proposed approach achieves more accurate background than traditional method.