1. 毕业设计（论文）主要目标：
通过上述内容研究，构造出基于非局部平均滤波方法的结构张量，并用于图像角点提取以及图像去噪。
2. 毕业设计（论文）主要内容：
毕业论文主要内容如下：
1）结构张量背景知识，主要方法分类，当前发展趋势；
2）结构张量特征值与特征向量求解方法；
3. 主要参考文献
| [1]Frstner W, GlchE. A fast operator for detection and precise location of distinct points,corners and centres of circular features[C]. Armin Grn. Pro.of ISPRSintercommission Conference on Fast Processing of Photogrammetric Data.Zurich : Instituteof Geodesy and Photogrammetry,1987.60-67. [2]Kthe Ullrich. Edge andjunction detection with an improved structure tensor [C]. Michaelis B,KrellG,eds. Pattern Recognition,Lecture Notes in ComputerScience 2781. Berlin: Springer, 2003: 25-32. [3]Nagel HH, Gehrke A.Spatiotemporally adaptive estimation and segmentation of OF-fields[C].bBurkhardtH,Neumann B,eds.Computer Vision-ECCV’98, lecture Notes in Computer Science. Berlin:Springer,1998:86-102. [4]Weijier J，Boomgaard R. Leastsquares and robust estimation of local image structure [J]. InternationalJournal of Computer Vision，2005，64 (2/3),143-155. [5] Brox Thomas, Weickert J, et al. Nonlinear structuretensors [J]. Image and Vision Computing, 2006, 24 (1) :41-55. [6] Hahn, J, Lee, C. A nonlinear structure tensor withthe diffusivity matrix composed of the image gradient [J]. Journal ofMathematical Imaging and Vision, 2009, 34 (2), 137-151. [7] 郑钰辉，潘瑜，孙权森，韦志辉，夏德深. 基于曲率保持PDE的非线性结构张量[J]. 计算机工程与应用, 2010, 46(18):156-159.)
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