A hybrid watershed method for cell image segmentation

Jingqi Ao, Sunanda Mitra, Rodney Long, Brian Nutter, Sameer Antani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

In cytological evaluation of cells, the nuclear characteristics present significant opportunities for early detection of abnormalities arising from various types of cancer. Accurate representation of cell nuclear structure by traditional manual inspection is difficult and time-consuming. In this paper, we introduce a new semi-automated cell segmentation algorithm combining a histogram-based global approach with local watershed segmentation. The procedure requires very little prior knowledge or user interaction. Preliminary results of accurate segmentation of the nucleus from the cell are presented to demonstrate potential application of this algorithm in cytological evaluation of abnormal nuclear structure.

Original languageEnglish
Title of host publication2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
Pages29-32
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 - Santa Fe, NM, United States
Duration: Apr 22 2012Apr 24 2012

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
CountryUnited States
CitySanta Fe, NM
Period04/22/1204/24/12

Keywords

  • cell segmentation
  • cytopathology
  • global histogram
  • local watershed

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