A Cells Segmentation Approach in Epithelial Tissue using Histology Images by C. Mazo, Ing. http://mmv-lab.univalle.edu.co/

1. A Cells Segmentation Approach in
Epithelial Tissue Using Histology
Images
Claudia Ximena Mazo, Ing.

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. Introduction
Slide 3

4. Problem
Illustration of Cell Nuclei in Epithelial Tissue
Slide 4

5. Proposed Method
Proposed Method
Slide 5

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. Preprocessing
Original Image Filtered Image
Median Filter
Slide 7

8. RGB Space
Original Image
Red Green Blue
RGB Color Space for Histology Image
Slide 8

9. Largest Eigenvalue of Structure Tensor
Original Image Largest Eigenvalue
Illustration of the Largest Eigenvalue of Structure Tensor
Slide 9

10. The K-means Algorithm
Process with k-means algorithm
Slide 10

11. Segmentation of light and Flood-fill
Original Image Otsu
Red Green
Original image, obtained result using Otsu’s algorithm, result of Flood-fill algorithm and
finally result of filtered Flood-fill algorithm
Slide 11

12. Combining Segmentation Results
Original Image Segmentation
Segmented Epithelial Tissue
Result of filtered Flood-fill Algorithm
Slide 12

13. Experiments and Analysis of Results
Selected result of the proposed segmentation
Slide 13

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. 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. THANKS!!!
QUESTIONS?
Slide 16