Algorithms for automatic segmentation of bovine embryos produced in vitro

In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the...

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Bibliographic Details
Published in:Journal of physics. Conference series 2014-01, Vol.490 (1), p.12125-4
Main Authors: Melo, D H, Nascimento, M Z, Oliveira, D L, Neves, L A, Annes, K
Format: Article
Language:English
Subjects:
Algorithms
Cattle
Droplets
Embryos
Goats
Image segmentation
In vitro testing
Lipids
Maximum entropy
Physics
Segmentation
Standard deviation
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Summary:In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the differents RGB components. After pre-processing step, the thresholding technique based on maximum entropy was applied to separate lipid droplets in the histological slides in different stages: early cleavage, morula and blastocyst. In the postprocessing step, false positives are removed using the connected components technique that identify regions with excess of dye near pellucid zone. The proposed segmentation method was applied in 30 histological images of bovine embryos. Experiments were performed with the images and statistical measures of sensitivity, specificity and accuracy were calculated based on reference images (gold standard). The value of accuracy of the proposed method was 96% with standard deviation of 3%.
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/490/1/012125