Region growing segmentation of textured cell images

H. S. Wu, J. Barba, J. Gil

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


The authors introduce a region growing algorithm working in conjunction with the K-means algorithm for the segmentation of textured cell images. The iterative algorithm initially segments the most easily classifiable regions which are grown in subsequent iterations. Only the most easily classifiable pixels in the remaining regions are segmented in each iteration. Experimental results of the procedure in segmenting breast cancer cells are demonstrated and compared to the K-means algorithm.

Original languageEnglish
Pages (from-to)1084-1085
Number of pages2
JournalElectronics Letters
Issue number12
StatePublished - 6 Jun 1996
Externally publishedYes


  • Image processing
  • Image segmentation


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