土壤显微图像的计算机定量分析与模式识别

【作者】 李强；

【导师】 鲍苏苏；

【作者基本信息】 华南师范大学 ， 计算机软件与理论， 2003， 硕士

【摘要】 定量分析土壤显微图像是图像处理技术和分析技术应用的一个领域。本文通过开发土壤显微图像处理系统，探讨处理土壤显微图像的各种技术。作者首先介绍了珠江三角洲地区饱和粘土的特点，确定了以土壤孔隙为主的特征参数。在图像处理过程中，对图像进行了增强处理改善图像视觉效果，采用了诸如灰度变换、改进的邻域平均法和像素点扩张法改善图像对比度以及消除图像中的噪声。针对土壤显微图像的特点，采用三级精化分割方案对图像施以分割。在二值化初级分割中，对比了几种分割方法，选择基于边缘强度的阈值选择方法。在提取参数方面，采用了一种新的基于灰度在三维空间中计算图像孔隙率的方法，采用边缘检测的手段提取颗粒和孔隙的周长。为了更好的理解图像中孔隙和颗粒的分布状态，利用OpenGL技术实现土壤显微图像的三维重建。最后对系统尚未完成的工作提出了展望。更多还原

【Abstract】 The quantitative analysis of soil microstructure is a new field in which the image processing and analysis techniques are used. This paper discussed and analysis a variety of the soil microstructure processing techniques by developing the analysis system of soil microstructure image. At first, the saturated clay’s character of ZhuJiang delta is introduced and some parameter about pore is established. In the process of processing image, image’s vision effect is improved by some image enhance technique such as neighboring region average and pixel expanding. In accord with the feathers of the soil microphotograph , a three-level segmentation scheme is used to segment the soil microphotograph. By contrast, a algorithm called image segmentation based on edge detection is used to make the initial binary segmentation . For getting some parameters, a new algorithm based on gray scale is used to compute porosity, and technique of edge detection is used to compute pores’ girth. For understanding the soil microphotograph better, technique of OpenGL is used to make three-dimensional reconstruction. Finally, some expectation is bring forward.更多还原