Adaptive detection and filtering of impulse noise from laser scanned data

Hongjuan Yang; Yiqi Zhou; Chengjun Chen

Adaptive detection and filtering of impulse noise from laser scanned data

Hongjuan Yang^*
, Yiqi Zhou
, Chengjun Chen

^*Corresponding author for this work

Shandong University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

According to the distribution of local impulse noise, an adaptive chord deviation method is used to avoid redundant detection or missing of impulse noise at the quick rising, descending or broken line area of data set. It uses median filter to filtering out impulse noise by adaptively tackling the non-impulse-noise data in filter window. Test examples show that the proposed method outperforms some known methods in noise reduction and detail preservation.

Original language	English
Pages (from-to)	1531-1534
Number of pages	4
Journal	Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Volume	18
Issue number	10
State	Published - Oct 2006
Externally published	Yes

Keywords

Adaptive filtering
Chord deviation
Impulse noise
Laser scanned data

Cite this

@article{5e973573b5d246e0a6f996f8e1ded311,

title = "Adaptive detection and filtering of impulse noise from laser scanned data",

abstract = "According to the distribution of local impulse noise, an adaptive chord deviation method is used to avoid redundant detection or missing of impulse noise at the quick rising, descending or broken line area of data set. It uses median filter to filtering out impulse noise by adaptively tackling the non-impulse-noise data in filter window. Test examples show that the proposed method outperforms some known methods in noise reduction and detail preservation.",

keywords = "Adaptive filtering, Chord deviation, Impulse noise, Laser scanned data",

author = "Hongjuan Yang and Yiqi Zhou and Chengjun Chen",

year = "2006",

month = oct,

language = "英语",

volume = "18",

pages = "1531--1534",

journal = "Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics",

issn = "1003-9775",

publisher = "Institute of Computing Technology",

number = "10",

}

TY - JOUR

T1 - Adaptive detection and filtering of impulse noise from laser scanned data

AU - Yang, Hongjuan

AU - Zhou, Yiqi

AU - Chen, Chengjun

PY - 2006/10

Y1 - 2006/10

N2 - According to the distribution of local impulse noise, an adaptive chord deviation method is used to avoid redundant detection or missing of impulse noise at the quick rising, descending or broken line area of data set. It uses median filter to filtering out impulse noise by adaptively tackling the non-impulse-noise data in filter window. Test examples show that the proposed method outperforms some known methods in noise reduction and detail preservation.

AB - According to the distribution of local impulse noise, an adaptive chord deviation method is used to avoid redundant detection or missing of impulse noise at the quick rising, descending or broken line area of data set. It uses median filter to filtering out impulse noise by adaptively tackling the non-impulse-noise data in filter window. Test examples show that the proposed method outperforms some known methods in noise reduction and detail preservation.

KW - Adaptive filtering

KW - Chord deviation

KW - Impulse noise

KW - Laser scanned data

UR - https://www.scopus.com/pages/publications/33845353268

M3 - 文章

AN - SCOPUS:33845353268

SN - 1003-9775

VL - 18

SP - 1531

EP - 1534

JO - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics

JF - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics

IS - 10

ER -

Adaptive detection and filtering of impulse noise from laser scanned data

Abstract

Keywords

Other files and links

Fingerprint

Cite this