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A Cells Segmentation Approach in Epithelial Tissue using Histology Images by Mazo

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A Cells Segmentation Approach in Epithelial Tissue using Histology Images

by C. Mazo, Ing.

http://mmv-lab.univalle.edu.co/

Published in: Education, Technology
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A Cells Segmentation Approach in Epithelial Tissue using Histology Images by Mazo

  1. 1. A Cells Segmentation Approach inEpithelial Tissue Using Histology Images Claudia Ximena Mazo, Ing.
  2. 2. Content Introduction Problem Proposed aproach  Preprocessing and RGB Space  Largest Eigenvalue of Structure Tensor  The K-means Algorithm  Segmentation of light and Flood-fill  Combining Segmentation Results Experiments and Analysis of Result Conclution Future work Slide 2
  3. 3. Introduction Slide 3
  4. 4. ProblemIllustration of Cell Nuclei in Epithelial Tissue Slide 4
  5. 5. Proposed MethodProposed Method Slide 5
  6. 6. Proposed Approach Preprocessing and RGB Space Largest Eigenvalue of Structure Tensor The K-means Algorithm Segmentation of light and Flood-fill Combining Segmentation Results Slide 6
  7. 7. PreprocessingOriginal Image Filtered ImageMedian Filter Slide 7
  8. 8. RGB Space Original Image Red Green BlueRGB Color Space for Histology Image Slide 8
  9. 9. Largest Eigenvalue of Structure TensorOriginal Image Largest EigenvalueIllustration of the Largest Eigenvalue of Structure Tensor Slide 9
  10. 10. The K-means AlgorithmProcess with k-means algorithm Slide 10
  11. 11. Segmentation of light and Flood-fill Original Image Otsu Red GreenOriginal image, obtained result using Otsu’s algorithm, result of Flood-fill algorithm andfinally result of filtered Flood-fill algorithm Slide 11
  12. 12. Combining Segmentation Results Original Image Segmentation Segmented Epithelial TissueResult of filtered Flood-fill Algorithm Slide 12
  13. 13. Experiments and Analysis of ResultsSelected result of the proposed segmentation Slide 13
  14. 14. Conclutions The proposed approach uses criteria based on the morphology of the tissue, which improves the segmentation results The combination of segmentation techniques with well-known morphological information — commonly used by experts in the daily practices — is a distinctive aspect of the proposed approach The experimental evaluation shows that the obtained segmentation is very close to the real one Slide 14
  15. 15. Future Work The obtained result will be used as input to identify segmented cells of epithelial type to which belongs Identify the cells segmentation for the four basic tissues Slide 15
  16. 16. THANKS!!!QUESTIONS? Slide 16

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