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