Research on Edge Detection Algorithm in Digital Image Processing

DOI

10.2991/msmee-17.2017.227How to use a DOI?

Keywords

Digital image processing; edge detection; algorithm;

Abstract

The image has many features, among which the edge is one of the most basic one. The purpose of edge detection is to obtain accurate edge positioning, which plays a vital role in computer vision and image analysis. Great detection of the image can also effectively suppress the generation of noise. There are many methods for edge detection in digital image processing. With the upgrading of science and technology, the recent emerging image edge detection algorithm becomes the organic synthesis of variety emerging image edge detection algorithms. Firstly, the theoretical analysis and LOG operator of the classical edge detection operator are studied emphatically. Then, the performance of the classical edge detection operator and the multi-scale algorithm of the digital image edge detection algorithm are fully explained. Finally, the digital image edge detection classification and digital image edge detection algorithm are described in detail.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen-kui Zheng
AU  - Kun Liu
PY  - 2017/05
DA  - 2017/05
TI  - Research on Edge Detection Algorithm in Digital Image Processing
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1203
EP  - 1208
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.227
DO  - 10.2991/msmee-17.2017.227
ID  - Zheng2017/05
ER  -