Segmentation of Zebrafish larvea from bright-field microscope images
Yuanhao Guo, Zhan Xiong, and Fons J. Verbeek (2018)
An efficient and robust hybrid method for zebrafish segmentation in the bright-field microscope images.
Machine Vision and Applications. [Doi]
2. Results of various segmentation methods for zebrafish in VAST
The blue bounding box indicates the location of accurate segmentation;
The red bounding box indicates the location of inaccurate segmentation.
(A) The segmentation obtained by the mean shift algorithm.
This method produces a whole shape representation of the zebrafish but fails in sensitivity to the edges.
(B) The segmentation obtained by the improved level set method.
This method fails to detect the transparent regions mostly found in zebrafish tail area.
(C) An accurate segmentation is obtained from a hybrid approach
including the previous two methods with some refined processing.
3. Results of hybrid segmentation method for images from VAST-BioImager
The animations represent the segmentations of images with zebrafish larvae positioned in any axial-view.
The axial-view images are acquired by the VAST-BioImager and a standard bright-field microscope.
Segmentation of images from the VAST camera (ProSilica),
where dfp stands for days post fertilization, an indication of developmental age.
3 dpf
