基于分水岭的彩色图像颗粒分析方法

A Granular Analysis Method Based on Watershed

在对颗粒分析方法进行归类和总结的基础上,提出了一种基于分水岭的彩色图像颗粒分析普遍框架,该框架不仅消除了有些传统方法不能进行颗粒定位的缺点,而且对分水岭算法进行了一定的改进,由于该算法对颗粒形状进行了精确定位,从而得到颗粒的各种特征信息,可比较好地完成了颗粒分析。通过对一些微观矿物图像进行分析的结果表明,该算法可取得良好的颗粒分析效果,而且运行效率要比传统方法高。

This paper gives out a watershed-based granular analyzing method for digital color images. The new watershedbased method which improves on the original watershed transform to some extent, can overcome the shortcoming of some conventional methods that they cannot mark the grain exactly and give a exact boundary or mark to every grain in the image. ＂The features of grains can be acquired from these exactly marked areas and then further work can be done more easily. The paper finally applies the proposed method in some digital microscopic mineral images and obtains good results.