图像处理中 结构张量(structure tensor) 结构张量(structure tensor) 主要用于区分图像的平坦区域、边缘区域与角点区域。 此处的张量就是一个关于图像的结构矩阵,矩阵结构构成如下: Rx,Ry分别为图像的水平与垂直梯度,而后进行求矩阵T的行列式K与迹(trace)H。 根据K与H的关系来求得区分图像的平坦、边缘与角点区域: ...
根据结构张量能区分图像的平坦区域、边缘区域与角点区域。 此算法也算是计算机科学最重要的32个算法之一了。链接的文章中此算法名称为Strukturtensor算法,不过我搜索了一下,Strukturtensor这个单词好像是德语,翻译过来就是structure tensor结构张量了。 此处所说的张量不是相对论或黎曼几何里的张量,黎曼几何的张量好多论文...
importnumpyasnpfromstructure_tensorimporteig_special_2d,structure_tensor_2dsigma=1.5rho=5.5# Load 2D data.image=np.random.random((128,128))S=structure_tensor_2d(image,sigma,rho)val,vec=eig_special_2d(S) For volume with shape(x, y, z)the eigenvectors (vec) are returned aszyx. ...
This paper discusses a three-dimensional (3D) automatic grid-based tomographic migration velocity analysis approach, which does not require the manual picking of geological horizons in the depth image volumes and the residual moveouts in the migrated common image gathers. A structure tensor is a ...
Ahmadreza Baghaie, Zeyun Yu, Structure tensor based image interpolation method, AEU - International Journal of Electronics and Communications, Volume 69, Issue 2, February 2015, Pages 515-522, ISSN 1434-8411.A. Baghaie and Z. Yu, "Structure tensor based image interpolation method," AEU-...
网络结构张量 网络释义 1. 结构张量 本文重点关注基于结构张量(structure tensor)的图像建模方法,对基于结构张量的偏微分方程(PDE)和变分泛函方法的滤波 … www.lunwenhot.com|基于7个网页 例句
韩国2020 关键字图像对比度,结构张量,卷积神经网络,无监督学习图像融合,面临的问题;传统的融合规则不允许在源图像中呈现微小但一致的细节,因为它们旨在仅强调强烈的细节。特征融合确定源图像是否对每个像素的融合…
局部结构张量An efficient method for image interpolation was presented, in which geometric features described by the local structure tensor were exploited to enhance the sharpness of edges without incurring any additional artifacts. Simulation results show that the proposed approach exhibited better ...
structure tensor.Introduction of new kinematic quantities to relate the magneto-mechanical response of chains with the matrix material.Numerical examples solve ... P Saxena,JP Pelteret,P Steinmann - 《European Journal of Mechanics》 被引量: 12发表: 2015年 Some observations about motivic tensor tria...
MIT 3.60 | Lec 8a: Symmetry, Structure, Tensor Properties of Materials麻省理工学院3.60 |LEC 8A:对称性,结构,材料的张量特性 Part 1: Diffraction, 3D Symmetries View the complete course at: http://ocw.mit.edu/3-60F05 License: Creative Commons BY-NC-SA M