About Edge Detection in Digital Images

被引：15

作者：

Hagara, Miroslav ^{[1
]}

Kubinec, Peter ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Inst Elect & Photon, Ilkovicova 3, Bratislava 81219, Slovakia

来源：

RADIOENGINEERING | 2018年 / 27卷 / 04期

关键词：

Image processing; edge detection; gradient operator; morphological operator; fractional differentiation; Berkeley segmentation data set (BSDS); NYU depth dataset; Matlab;

D O I：

10.13164/re.2018.0919

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：

Edge detection is one of the most commonly used procedures in digital image processing. In the last 30-40 years, many methods and algorithms for edge detection have been proposed. This article presents an over-view of edge detection methods, the methods are divided according to the applied basic principles. Next, the measures and image database used for edge detectors performance quantification are described. Ordinary users as well as authors proposing new edge detectors often use Matlab function without understanding it in details. Therefore, one section is devoted to some of Matlab function parameters that affect the final result. Finally, the latest trends in edge detection are listed. Picture Lena and two images from Berkeley segmentation data set (BSDS500) are used for edge detection methods comparison.

引用

页码：919 / 929

页数：11

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