组合利用灰度和几何特性的图像分割算法

An Image Segmentation Algorithm Using Intensity and Geometry Property

文章提出了一个图像区域分割算法。首先利用图像全局灰度分布特性聚类实现初始分割，然后进行区域标记和合并。新的合并方法建立在分析区域之间的几何和灰度关系的基础上，克服了现有的区域合并方法的局限性。算法应用于一些合成图像、自然景物和遥感图像，实验结果是令人满意的。

： A new region segmentation algorithm is presented in this paper.First，an image is initially segmented with a clustering way using the global intensity distribution property.Second，the regions are labeled and merged.The new merge method is based on analyzing the geometry and intensity relationship in order to deal with some drawbacks of the present methods.This method was applied to some synthetic images，nature scene images and remote sensing images，and the results are satisfying.