提取土微观结构特征的显微图片处理及分析的研究

A STUDY ON SOIL MICROPHOTOGRAPH PROCESSING AND ANALYSIS FOR EXTRACTING SOIL MICROSTRUCTURE FEATURES

本文通过开发土的微观结构特征定量分析系统,探讨分析土的显微图片的各种技术。针对土的显微图片的特征,利用二值化,自动及人机交互等三级分割方案对增强的图象进行分割,并用宽度优先的节点扩张与收缩算法处理区域噪声;然后用拉普拉斯算子提取颗粒边缘,最后作者提出主弦法用以消除因图片旋转带来的熵检测的不确定性。

This paper discusses and analyses a varity of soil microphotograph processing techniques by developing the quantitative analysis system of soil microstructure features. In accordance with the features of the soil microphotograph,at first,a three-level segmentation scheme is used to segment the enhanced image,and an algorthm called breath-first expantion and contraction of nodes is developed to clean region noise; and then, the soil particle boundaries are extracted by Laplace operator; finally a main-axis method is presented to eliminate the entropy detection uncertainty caused by microphotograph rotation.