Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/79497
Title: | Complex composite derivative and its application to edge detection | Authors: | Pan, Xiang Ye, Yongqiang Wang, Jianhong Gao, Xudong He, Chun Wang, Danwei Jiang, Bin Li, Lihua |
Keywords: | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision | Issue Date: | 2014 | Source: | Pan, X., Ye, Y., Wang, J., Gao, X., He, C., Wang, D., et al. (2014). Complex composite derivative and its application to edge detection. SIAM journal on imaging sciences, 7(4), 2807-2832. | Series/Report no.: | SIAM journal on imaging sciences | Abstract: | In this paper, a detailed study on a composite derivative is performed. The composite derivative, which is formed from the combination of fractional integration and derivative and performs a $90^\circ$ phase shift as the traditional first derivative does, is applied to edge detection and the results are analyzed, emphasizing the compromise ability between selectivity and noise suppression. Both objective and subjective comparisons with other edge detectors are carried out, including evaluations through the use of the benchmark Berkeley Segmentation Dataset (BSDS500). In contrast with the classical first-order derivative, the composite derivative is order-steerable; one can adjust the orders of fractional integration and derivative to tune magnitude characteristic and reach a compromise between sensitivity to noise and detection accuracy. | URI: | https://hdl.handle.net/10356/79497 http://hdl.handle.net/10220/24601 |
ISSN: | 1936-4954 | DOI: | 10.1137/130947908 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2014 Society for Industrial and Applied Mathematics. This paper was published in SIAM Journal on Imaging Sciences and is made available as an electronic reprint (preprint) with permission of Society for Industrial and Applied Mathematics. The paper can be found at the following official DOI: [http://dx.doi.org/10.1137/130947908]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
130947908.pdf | 2.12 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
50
4
Updated on Mar 21, 2024
Web of ScienceTM
Citations
50
4
Updated on Oct 24, 2023
Page view(s) 20
710
Updated on Mar 28, 2024
Download(s) 20
333
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.