An effective image segmentation algorithm method based on compound morphology filter and modified watershed

Weifeng WANG*, Huifeng YAN, Mingliang ZHOU

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

To describe an effective method for image segmentation algorithm, which is based on the compound morphology filter and modified watershed? First of all, we define the compound morphology filter with opening-closing operators and closing-opening operators, which overcomes the over-segmentation of the traditional water shed algorithm. Secondly, we design a new morphology water shed with inner and external marks, and also define the regional minima to inner marks from the low frequency components of the gradients and external marks between the region; the inner and external marks change along with the image information, thus which has realized to the image information adaptive segmentation. Experimental result show that the new algorithm can overcome under the low contrast is not high enough accuracy in the traditional morphology watershed segmentation algorithm, which could accurately obtain the image edge and contour.

Original languageEnglish
Title of host publicationInformatics and Management Science V
EditorsWenjiang DU
PublisherSpringer London
Pages703-708
Number of pages6
Edition1
ISBN (Electronic)9781447147961
ISBN (Print)9781447147954
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Informatics and Management Science (IMS) 2012 - Chongqing, China
Duration: 16 Nov 201219 Nov 2012

Publication series

NameLecture Notes in Electrical Engineering
Volume208 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Informatics and Management Science (IMS) 2012
Abbreviated titleIMS 2012
Country/TerritoryChina
CityChongqing
Period16/11/1219/11/12

Bibliographical note

© 2013 Springer-Verlag

Keywords

  • Image segmentation
  • Morphology filter
  • Water shed algorithm

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