一种基于最大类间方差和区域生长的图像分割法

An Image Segmentation Algorithm Based on Maximal Variance Between-Class and Region Growing

摘要:

提出一种基于一维最大类间方差和区域生长的图像分割法。首先用一维最大类间方差法确定最佳分割阈值,再用改进的区域生长法分割得到目标。实验结果表明,该分割算法不仅适用于简单的图像分割问题,而且对于背景复杂、光照不均匀的图像也能取得较好的分割效果。该算法计算量小,实时性和分割精度均有一定优势,在提取目标的同时,不留下任何背景像素,使下一步的目标识别更为简单。

Abstract:

A segmentation algorithm based on the technique of one-dimension maximal variance between-class and region growing method is proposed in this paper.Firstly,the method of one-dimension maximal variance between-class is used to obtain the optimal segmenting