Unsupervised Tissue Image Segmentation through Object-Oriented Texture

@article{Tosun2010UnsupervisedTI,
  title={Unsupervised Tissue Image Segmentation through Object-Oriented Texture},
  author={Akif Burak Tosun and Cenk Sokmensuer and Cigdem Demir},
  journal={2010 20th International Conference on Pattern Recognition},
  year={2010},
  pages={2516-2519}
}
This paper presents a new algorithm for the unsupervised segmentation of tissue images. It relies on using the spatial information of cytological tissue components. As opposed to the previous study, it does not only use this information in defining its homogeneity measures, but it also uses it in its region growing process. This algorithm has been implemented and tested. Its visual and quantitative results are compared with the previous study. The results show that the proposed segmentation… CONTINUE READING

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