Adaptive smoothing respecting feature directions

被引：91

作者：

Carmona, RA ^{[1
]}

Zhong, SF ^{[1
]}

机构：

[1] Princeton Univ, Civil Engn & Operat Res Dept, Stat & Operat Res Program, Princeton, NJ 08544 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1998年 / 7卷 / 03期

关键词：

adaptive smoothing; anisotropic diffusion;

D O I：

10.1109/83.661185

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Accurate extraction of the image feature directions is essential to image smoothing and other image processing tasks, We show that the gradient-based feature direction extraction method can be very erroneous, The gradient is too local, and it cannot detect oscillations, We have developed two new methods: the Hessian method, an approach using higher order differentiations, and the Gabor method, an approach using space-frequency analysis.

引用

页码：353 / 358

页数：6

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