摘要
简要介绍了Marr理论的基本框架 ,并详细介绍了Marr_Hildreth边缘检测理论的基本原理 ,同时给出了LOG模板算子实例。在此基础上 ,提出这一理论用于多波段影像边缘分析的几种不同的方法 ,指出了本文所采取方法的原理和算法流程。试验结果的分析对比说明 。
This paper proposes an approach to edge analysis of multi_band image using Marr's method,on the basis of the introductions of Marr theory and the principles of edge detection proposed by Marr and Hildreth. As to Marr theory,this paper describes its frame structure with a few words in order to let the readers have a whole concept to it. Then the principles of edge detection proposed by Marr_Hildreth is analyzed by dividing into two parts,which are how to select the smooth filter and why the Laplacian operator is valid. They show that after using the Gauss smooth filter,the edge of the image can be detected well with the Laplacian operator. LOG operator is the integration of the two parts. On this base,the paper emphasizes on exploring the valid approaches for multi_band remote sensing image(TM image). Some ways are pointed out in the paper,such as weighted vector summation,optimal band selection,etc. But the approach used in the experiments is dependent upon the number of “cross_point' using LOG operator for each band respectively. In details,we can use LOG operator to process every band image to get “cross_point' edge,and then use a detection method to select the gray of the final edge image,which can describe the best information of the multi_band image,namely how to decide the most appropriate edge gray,which comes from every band. The results of the experiments include the edge image of each band with different σ and the edge image of the multi_band image. The experiments using TM image show the better effect of multi_band image analysis.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2001年第1期34-39,共6页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目! (499710 5 5 )
