New noise-containing remote sensing image segmentation method

The invention provides a noise-containing remote sensing image segmentation algorithm which is based on wavelet packet analysis and is combined with improved 2D otsu, aiming at improving noise-containing image segmentation accuracy. The algorithm includes that firstly wavelet packet is used for deco...

Full description

Saved in:
Bibliographic Details
Main Authors JIA ZHENHONG, ZHOU TONGCHI, LIU WENJING
Format Patent
LanguageChinese
English
Published 24.11.2010
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The invention provides a noise-containing remote sensing image segmentation algorithm which is based on wavelet packet analysis and is combined with improved 2D otsu, aiming at improving noise-containing image segmentation accuracy. The algorithm includes that firstly wavelet packet is used for decomposing a noise-containing remote sensing image, then adaptive threshold method is adopted to remove noise in the image, and then the two-dimensional histogram of the image is projected onto diagonal, so as to form a one-dimensional histogram with obvious 'double peak' distribution, and finally 2D otsu method is applied for searching optimal segmentation threshold on a line vertical to the diagonal, so as to realize image segmentation. The invention not only effectively removes interference of noise but also obtains better segmentation effect.
AbstractList The invention provides a noise-containing remote sensing image segmentation algorithm which is based on wavelet packet analysis and is combined with improved 2D otsu, aiming at improving noise-containing image segmentation accuracy. The algorithm includes that firstly wavelet packet is used for decomposing a noise-containing remote sensing image, then adaptive threshold method is adopted to remove noise in the image, and then the two-dimensional histogram of the image is projected onto diagonal, so as to form a one-dimensional histogram with obvious 'double peak' distribution, and finally 2D otsu method is applied for searching optimal segmentation threshold on a line vertical to the diagonal, so as to realize image segmentation. The invention not only effectively removes interference of noise but also obtains better segmentation effect.
Author ZHOU TONGCHI
LIU WENJING
JIA ZHENHONG
Author_xml – fullname: JIA ZHENHONG
– fullname: ZHOU TONGCHI
– fullname: LIU WENJING
BookMark eNrjYmDJy89L5WSw9UstV8jLzyxO1U3OzytJzMzLzEtXKErNzS9JVShOzSsGcTNzE9NBvPTcVKCSksz8PIXc1JKM_BQeBta0xJziVF4ozc2g6OYa4uyhm1qQH59aXJCYnJqXWhLv7GdoYGhhaWJsbuRoTIwaAFtUMlw
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
Physics
ExternalDocumentID CN101894372A
GroupedDBID EVB
ID FETCH-epo_espacenet_CN101894372A3
IEDL.DBID EVB
IngestDate Fri Jul 19 12:37:43 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language Chinese
English
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_CN101894372A3
Notes Application Number: CN20101243654
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20101124&DB=EPODOC&CC=CN&NR=101894372A
ParticipantIDs epo_espacenet_CN101894372A
PublicationCentury 2000
PublicationDate 20101124
PublicationDateYYYYMMDD 2010-11-24
PublicationDate_xml – month: 11
  year: 2010
  text: 20101124
  day: 24
PublicationDecade 2010
PublicationYear 2010
RelatedCompanies XINJIANG UNIVERSITY
RelatedCompanies_xml – name: XINJIANG UNIVERSITY
Score 2.8976119
Snippet The invention provides a noise-containing remote sensing image segmentation algorithm which is based on wavelet packet analysis and is combined with improved...
SourceID epo
SourceType Open Access Repository
SubjectTerms CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Title New noise-containing remote sensing image segmentation method
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20101124&DB=EPODOC&locale=&CC=CN&NR=101894372A
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR1dS8Mw8Jjz802novODCtK3oG3Trn0o4tKNIawbMmVvox_JnLB2rBXBX-8l65wv-pgLHJcjd5fLfQHcitgSaBhc4nKrRaiwTeK5RkK81LBTbsVWImS9cz90ei_0aWyPa_C-roVRfUI_VXNElKgE5b1U-nqx-cQKVG5lcRfPEJQ_dEd-oFfeMd4vtFd60PY7w0EwYDpjPgv18NmXjak8GaN63IJtfEa3lNP22pZVKYvfJqV7CDtDxJaVR1D7emvAPltPXmvAXr8KeDdgV2VoJgUCKyksjkH2WtKyfFZwIjPNVzMetCVHrnOtkBnpuJzNUVPgajqvqosybTUt-gRuup0R6xGkaPJz_AkLN8Rbp1DP8oyfgZZE1PCoiQ4Hd2nUEi61hJNG9r3Due1E3jk0_8bT_G_zAg5UjNwwiEkvoV4uP_gVmt4yvlY8-wYDWIh_
link.rule.ids 230,309,783,888,25577,76883
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR1dT8Iw8IL4gW-KEsWvmZi9NTrWje1hMdKxoMIgBg1vZB-dYsIgbMbEX--1DPFFH3tNLtdL767X-wK4SkI9QcNgEYvrTUITo0FsS4uIHWtGzPVQjxJR79zzzc4zfRgZoxK8r2phZJ_QT9kcESUqQnnPpb6erz-xXJlbmV2HEwTNbr2h46qFd4z3C-2V6rac9qDv9pnKmMN81X9yRGMqW8So7jZgE5_YlnSVXlqiKmX-26R4e7A1QGxpvg-lr7cqVNhq8loVdnpFwLsK2zJDM8oQWEhhdgCi15KSziYZJyLTfDnjQVlw5DpXMpGRjsvJFDUFrl6nRXVRqiynRR_Cpdcesg5BisY_xx8zf028XoNyOkv5EShRQDWbNtDh4BYNmolF9cSMA-PG5NwwA_sY6n_jqf-3eQGVzrDXHXfv_ccT2JXxck0jDXoK5Xzxwc_QDOfhueTfN5Jwi28
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=New+noise-containing+remote+sensing+image+segmentation+method&rft.inventor=JIA+ZHENHONG&rft.inventor=ZHOU+TONGCHI&rft.inventor=LIU+WENJING&rft.date=2010-11-24&rft.externalDBID=A&rft.externalDocID=CN101894372A