FCMLSM Segmentation of Micro-Vessels in Slight Defocused Microscopic Images

To address problems relating to microscopic micro-vessel images of living bodies, including poor vessel continuity, blurry boundaries between vessel edges and tissue and uneven field illuminance, and this paper put forward a fuzzy-clustering level-set segmentation algorithm. By this method, pre-trea...

Full description

Saved in:
Bibliographic Details
Published in:Journal of advanced computational intelligence and intelligent informatics Vol. 23; no. 6; pp. 1073 - 1079
Main Authors: Luo, Zhongming, Zhang, Yu, Zhou, Zixuan, Bi, Xuan, Wu, Haibin, Xin, Zhentao
Format: Journal Article
Language:English
Published: 20.11.2019
ISSN:1343-0130, 1883-8014
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract To address problems relating to microscopic micro-vessel images of living bodies, including poor vessel continuity, blurry boundaries between vessel edges and tissue and uneven field illuminance, and this paper put forward a fuzzy-clustering level-set segmentation algorithm. By this method, pre-treated micro-vessel images were segmented by the fuzzy c-means (FCM) clustering algorithm to obtain original contours of interesting areas in images. By the evolution equations of the improved level set function, accurate segmentation of microscopic micro-vessel images was realized. This method can effectively solve the problem of manual initialization of contours, avoid the sensitivity to initialization and improve the accuracy of level-set segmentation. The experiment results indicate that compared with traditional micro-vessel image segmentation algorithms, this algorithm is of high efficiency, good noise immunity and accurate image segmentation.
AbstractList To address problems relating to microscopic micro-vessel images of living bodies, including poor vessel continuity, blurry boundaries between vessel edges and tissue and uneven field illuminance, and this paper put forward a fuzzy-clustering level-set segmentation algorithm. By this method, pre-treated micro-vessel images were segmented by the fuzzy c-means (FCM) clustering algorithm to obtain original contours of interesting areas in images. By the evolution equations of the improved level set function, accurate segmentation of microscopic micro-vessel images was realized. This method can effectively solve the problem of manual initialization of contours, avoid the sensitivity to initialization and improve the accuracy of level-set segmentation. The experiment results indicate that compared with traditional micro-vessel image segmentation algorithms, this algorithm is of high efficiency, good noise immunity and accurate image segmentation.
Author Bi, Xuan
Luo, Zhongming
Zhou, Zixuan
Xin, Zhentao
Wu, Haibin
Zhang, Yu
Author_xml – sequence: 1
  givenname: Zhongming
  surname: Luo
  fullname: Luo, Zhongming
– sequence: 2
  givenname: Yu
  surname: Zhang
  fullname: Zhang, Yu
– sequence: 3
  givenname: Zixuan
  surname: Zhou
  fullname: Zhou, Zixuan
– sequence: 4
  givenname: Xuan
  surname: Bi
  fullname: Bi, Xuan
– sequence: 5
  givenname: Haibin
  surname: Wu
  fullname: Wu, Haibin
– sequence: 6
  givenname: Zhentao
  surname: Xin
  fullname: Xin, Zhentao
BookMark eNotkMtOwzAURC1UJErpD7DyD6RcPxLbS1QoVKRiUWBrue51cZXEVRwW_D19sJoZaTQanVsy6lKHhNwzmHEwVfmwdz7GeAzMzA4MlLgiY6a1KDQwOTp6IUUBTMANmea8Bzh6XoFkY_K2mK_q9YqucddiN7ghpo6mQFfR96n4wpyxyTR2dN3E3fdAnzAk_5Nxe2lknw7R02XrdpjvyHVwTcbpv07I5-L5Y_5a1O8vy_ljXXgpqqHgaqOMEViiCGqDWskKlXZbhV7rDS-dBtxWnEnmvAomsBLRgHSSCw3gvZgQftk9Hcg9BnvoY-v6X8vAnonYCxF7ImLPRMQfjeVXNg
Cites_doi 10.1109/FSKD.2008.532
10.1016/0021-9991(88)90002-2
10.20965/jaciii.2007.p0433
10.1109/SIU.2015.7129963
10.3788/AOS201939.0211002
10.1016/j.patrec.2011.01.021
10.1016/j.patcog.2012.08.009
10.20965/jaciii.2014.p0896
10.1109/AQTR.2012.6237700
10.1016/j.cmpb.2011.08.009
ContentType Journal Article
CorporateAuthor Department of Industry and Information of Heilongjiang Province No.68, Heping Road, Nangang District, Harbin, Heilongjiang 150001, China
The Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province, National Experimental Teaching Demonstration Center of Measuring and Control Technology, Harbin University of Science and Technology No.52, Xuefu Road, Nangang District, Harbin, Heilongjiang 150080, China
CorporateAuthor_xml – name: Department of Industry and Information of Heilongjiang Province No.68, Heping Road, Nangang District, Harbin, Heilongjiang 150001, China
– name: The Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province, National Experimental Teaching Demonstration Center of Measuring and Control Technology, Harbin University of Science and Technology No.52, Xuefu Road, Nangang District, Harbin, Heilongjiang 150080, China
DBID AAYXX
CITATION
DOI 10.20965/jaciii.2019.p1073
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1883-8014
EndPage 1079
ExternalDocumentID 10_20965_jaciii_2019_p1073
GroupedDBID AAYXX
ALMA_UNASSIGNED_HOLDINGS
ARCSS
CITATION
GROUPED_DOAJ
ISHAI
JSI
JSP
P2P
RJT
RZJ
TUS
ID FETCH-LOGICAL-c436t-27b7993e5e3f7be8746e78ad7ec88b25a80ed62141ac7f9f15ee904a423800cc3
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000498056000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1343-0130
IngestDate Sat Nov 29 06:43:33 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c436t-27b7993e5e3f7be8746e78ad7ec88b25a80ed62141ac7f9f15ee904a423800cc3
OpenAccessLink https://doi.org/10.20965/jaciii.2019.p1073
PageCount 7
ParticipantIDs crossref_primary_10_20965_jaciii_2019_p1073
PublicationCentury 2000
PublicationDate 2019-11-20
PublicationDateYYYYMMDD 2019-11-20
PublicationDate_xml – month: 11
  year: 2019
  text: 2019-11-20
  day: 20
PublicationDecade 2010
PublicationTitle Journal of advanced computational intelligence and intelligent informatics
PublicationYear 2019
References key-10.20965/jaciii.2019.p1073-7
key-10.20965/jaciii.2019.p1073-8
key-10.20965/jaciii.2019.p1073-9
key-10.20965/jaciii.2019.p1073-3
key-10.20965/jaciii.2019.p1073-4
key-10.20965/jaciii.2019.p1073-5
key-10.20965/jaciii.2019.p1073-13
key-10.20965/jaciii.2019.p1073-6
key-10.20965/jaciii.2019.p1073-12
key-10.20965/jaciii.2019.p1073-1
key-10.20965/jaciii.2019.p1073-2
key-10.20965/jaciii.2019.p1073-11
key-10.20965/jaciii.2019.p1073-10
References_xml – ident: key-10.20965/jaciii.2019.p1073-7
  doi: 10.1109/FSKD.2008.532
– ident: key-10.20965/jaciii.2019.p1073-8
  doi: 10.1016/0021-9991(88)90002-2
– ident: key-10.20965/jaciii.2019.p1073-13
  doi: 10.20965/jaciii.2007.p0433
– ident: key-10.20965/jaciii.2019.p1073-11
  doi: 10.1109/SIU.2015.7129963
– ident: key-10.20965/jaciii.2019.p1073-1
  doi: 10.3788/AOS201939.0211002
– ident: key-10.20965/jaciii.2019.p1073-10
– ident: key-10.20965/jaciii.2019.p1073-12
  doi: 10.1016/j.patrec.2011.01.021
– ident: key-10.20965/jaciii.2019.p1073-2
  doi: 10.1016/j.patcog.2012.08.009
– ident: key-10.20965/jaciii.2019.p1073-3
– ident: key-10.20965/jaciii.2019.p1073-6
  doi: 10.20965/jaciii.2014.p0896
– ident: key-10.20965/jaciii.2019.p1073-4
  doi: 10.1109/AQTR.2012.6237700
– ident: key-10.20965/jaciii.2019.p1073-9
– ident: key-10.20965/jaciii.2019.p1073-5
  doi: 10.1016/j.cmpb.2011.08.009
SSID ssj0001326041
ssib051641541
Score 2.121585
Snippet To address problems relating to microscopic micro-vessel images of living bodies, including poor vessel continuity, blurry boundaries between vessel edges and...
SourceID crossref
SourceType Index Database
StartPage 1073
Title FCMLSM Segmentation of Micro-Vessels in Slight Defocused Microscopic Images
Volume 23
WOSCitedRecordID wos000498056000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001326041
  issn: 1343-0130
  databaseCode: DOA
  dateStart: 20070101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssib051641541
  issn: 1343-0130
  databaseCode: M~E
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6FwoELbwTloT1wqwx-7Hp3j1BRgUgqpBYUuFje9bpYSuyoiav8uP44Zh-Ol0cleuBiJaPNyMlMZr4ZzwOhV4kCjEopRCeyYhGRELAKM_SzSkteKc4TUtrp-lN2fMznc_F5MrkcemEuFqxt-XYrVv9V1EADYZvW2WuIe8cUCPAahA5XEDtc_0nwR4ez6ckMjMDZ0vcVWUQ4M5V30VczKnxha2BPFiYuB4NTd6pfA-60J0yXSqMOPi7BzqyvQK67ugFlV0IM6cQmnO7phjoNBLOHwKPjsbh-2ts07fcfXXu2HDxomMP-1o-krrdnm20_qvM7W4kwHyg-d5EI08SXxoG5zYip5vJPZrSjcZ4Zv0lCG-16kr0uhgYXotcscN7wVvzNMaRmyI3dSKDMzA5zL69X42fDKdy_ecddzSJES5ZL4XgUhkdhedxAN1NGBQ8CerBmFAJRwKfJmPEDpBwTlwHwX9t1cVm2b_64tQApBZDn9B664yWO3zodu48mun2A7g57QLB3Cw_RJ6dyOFQ53NX4F5XDTYudyuGdyuFA5bBTuUfoy9H708MPkV_SESmS5ZsoZZIBxtVUZzWTmjOSa8bLimn4p8uUljzWVZ4mJCkVq0WdUK1FTEqA8RCrKJU9Rntt1-onCEOoImSmNK0qSbTSUuZSZCWVuVJxReOn6GD4QYqVm8VSXC2V_WudfoZujwr6HO1tznv9At1SF5tmff7SCvYncoGDuQ
linkProvider Directory of Open Access Journals
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%3Ajournal&rft.genre=article&rft.atitle=FCMLSM+Segmentation+of+Micro-Vessels+in+Slight+Defocused+Microscopic+Images&rft.jtitle=Journal+of+advanced+computational+intelligence+and+intelligent+informatics&rft.au=Luo%2C+Zhongming&rft.au=Zhang%2C+Yu&rft.au=Zhou%2C+Zixuan&rft.au=Bi%2C+Xuan&rft.date=2019-11-20&rft.issn=1343-0130&rft.eissn=1883-8014&rft.volume=23&rft.issue=6&rft.spage=1073&rft.epage=1079&rft_id=info:doi/10.20965%2Fjaciii.2019.p1073&rft.externalDBID=n%2Fa&rft.externalDocID=10_20965_jaciii_2019_p1073
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1343-0130&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1343-0130&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1343-0130&client=summon