Adaptive edge detection method for images

被引：13

作者：

Walczak, A. ^{[1
]}

Puzio, L. ^{[2
]}

机构：

[1] Mil Univ Technol, PL-00908 Warsaw, Poland

[2] Univ Informat Technol & Management, PL-35225 Rzeszow, Poland

来源：

OPTO-ELECTRONICS REVIEW | 2008年 / 16卷 / 01期

关键词：

wavelet; edge extraction; image analysis;

D O I：

10.2478/s11772-007-0040-6

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.

引用

页码：60 / 67

页数：8

共 9 条

[1]

[Anonymous], 1999, CURVE SURFACE FITTIN

[2] New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities [J].