## Journal of Central South University

 第43卷    第2期    总第210期    2012年2月

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(1. 中南大学 地球科学与信息物理学院，教育部有色金属成矿预测实验室，湖南 长沙，410083；
2. 北京师范大学 地理学与遥感科学学院，北京，100875
)

Three-dimensional morphological analysis method for
geologic bodies and its application

1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. School of Geography, Beijing Normal University, Beijing 100875, China

Abstract:For the spatial analysis of complex geological bodies in stereoscopic quantitative prediction of concealed ore bodies, a new method of three-dimensional morphological analysis for geologic bodies based on 3D raster model was put forward by combining mathematical morphology with Euclidean distance transformation theory. The algorithm for extracting the surface shape trend of geologic body was proposed by using open-close filter and close-open filter of mathematical morphology. By combination of morphological filtering, Euclidean distance transforming, and global set operation, the models for the quantitative analysis and hierarchical extraction of the shape undulance were established. By means of the calculation model of Euclidean distance field, an approach for extracting the angle parameter between the geologic body surface and its trend surface was acquired. After building the 3D raster models of the geologic bodies, a case study of the three-dimensional morphological analysis method was applied in analyzing quantitatively the Xinwuli magmatic body in Fenghuangshan ore field in Tongling, Anhui Province, and the quantitative extraction of the quantitative indexes of geological ore-controlling factors was achieved. The results show that the morphological analysis method for geologic bodies can be used to calculate various morphological parameters of geological bodies, to extract quantitative indexes of geologic ore-controlling factors successfully, and it plays an important role in stereoscopic quantitative predication of concealed ore bodies.

Key words: geologic body; 3D morphological analysis; mathematical morphology; Euclidean distance transform

 中南大学学报（自然科学版） ISSN 1672-7207 CN 43-1426/NZDXZAC 中南大学学报（英文版） ISSN 2095-2899 CN 43-1516/TBJCSTFT