@inproceedings{dfe5c010dcae4e94a52c69a7f6c0c3b3,
title = "An improved edge-detection algorithm according to wavelet transform",
abstract = "Considering the problems in the traditional algorithm of edge detection, such as fuzzy, discontinuous, and so on, according to the multiscale characteristics of the edge and noise, and the basic principle of wavelet transform, this paper presents a method to get the local maxima of module by interpolation, and then associates with the image edge by setting dual-threshold. The experimental result with Lenna image shows that the proposed algorithm extracts the image details effectively, and the continuity of the image edge is satisfying.",
keywords = "Dual-threshold, Edge detection, Wavelet transform",
author = "Yang, \{Y. Z.\} and H. Xu and Y. Ding",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; International Conference on Multimedia, Communication and Computing Application, MCCA 2014 ; Conference date: 15-10-2014 Through 16-10-2014",
year = "2015",
doi = "10.1201/b18512-46",
language = "English",
isbn = "9781138027756",
series = "Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014",
publisher = "CRC Press/Balkema",
pages = "217--222",
editor = "Ally Leung",
booktitle = "Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014",
}