Object segmentation based on location information for level set method

Nguyen Tran Lan Anh, Vo Quang Nhat, Guee Sang Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a novel level set approach is presented to segment only indicated objects from natural color images. To solve this challenging problem, users first initialize a contour inside the concerned object. The proposed level set model is then applied to achieve the object containing this initial region regardless of its shape and size. In our novel framework, the energy functional is a combination of two energy terms based on Bhattacharya flow and graph partitioning active contour. So that movement of the contour can be controlled toward object boundaries by correlative relationships between the interested region and surroundings. The experimental results obtained from our natural image collection show that the suggested method yields more accurate and better performance when comparing to other segmentation algorithms.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
DOIs
StatePublished - 2013
Event7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013 - Kota Kinabalu, Malaysia
Duration: Jan 17 2013Jan 19 2013

Publication series

NameProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013

Conference

Conference7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
Country/TerritoryMalaysia
CityKota Kinabalu
Period01/17/1301/19/13

Keywords

  • Bhattacharyya flow
  • Graph partitioning
  • Level set
  • Location information
  • Object segmentation

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