一种基于降雨模型的图像分割方法在砾岩图像分割中的应用

Study and application of watershed-based segmentation

砾岩图像包含着很多有用的地质信息,对石油的勘探开发有着非常重要的意义。但是由于砾岩图像非常复杂,砾石的颜色、纹理都多种多样,因此从砾岩图像中准确地分割出砾石图像一直是图像处理中的重点和难点问题。将基于降雨模型的图像分割方法应用于砾岩图像分割中,取得了良好的效果。

The conglomerate image contains many useful geologic information very important for the oil prospecting. But the conglomerate image is very complicated and the gravel image has different colors and grains. The gravel image segmentation is an important and difficult problem in the image process fields. The watershed-based segmentation is used to segment the gravel image and good effect is obtained.