An Algorithm of Image Edge Detection Based on Wavelet Transform

DOI

10.2991/mmebc-16.2016.336How to use a DOI?

Keywords

Wavelet transform. Image edge detection. Multi-scale edge.

Abstract

Image edge structure is often the most important feature in image processing and pattern recognition, and edge detection is mainly used to measure, detect and locate the gray level change. Wavelet analysis is a kind of multi scale edge detection method which has excellent denoising ability and complete edge detection ability. Using quadratic B-spline strip as operator, using edge detection algorithm based on wavelet analysis and dealing with the characteristics of texture image and heartbeat advantages and wavelet transform for image detail description of organic unifies in together, get the edge image quality is better.

Copyright

© 2016, 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  - Yue Wu
AU  - Xiaohong Meng
PY  - 2016/06
DA  - 2016/06
TI  - An Algorithm of Image Edge Detection Based on Wavelet Transform
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1658
EP  - 1661
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.336
DO  - 10.2991/mmebc-16.2016.336
ID  - Wu2016/06
ER  -