一种基于空间特征矢量的图像分割方法

针对灰度图像,提出了一种基于空间特征矢量的图像分割方法,构建了以像素的灰度、梯度、像素r的邻域均值为特征的三维特征空间,并将图像像素点对应空间特征点。通过计算像素特征矢量与阈值特征矢量的矢量差,求出矢量差与阈值特征矢量的夹角,然后比较夹角与动态分割参数的关系,判定像素所在区域(目标或背景)。实验表明,该方法可以较快速地实现图像分割,分割的效果也比较好。

A method of image segmentation based on feature vector of space

A new method of image segmentation for gray image based on space feature vector is presented in this paper.Its procedures are mainly divided into three steps.Firstly,a feature space with three dimensions based on gray,gradient,pixels neighbor- hood is constructed in advance.Ever pixels in image is related to a feature point in the space.Secondly,computing the vector differ- ence between feature vector and threshold feature vector,and giving angle between difference vector and threshold feature vector.Fi- nally,comparing its angle with segmentation parameter one to determine the region(target or background)of pixels.According to ex- perimental results,it is an effective method in image segmentation with accuracy.