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Adaptive Texture Description and Estimation of the Class Prior Probabilities for Seminal Quality Control
2014
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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The goal is to develop an automatic system to estimate the proportions of damaged acrosomes and dead spermatozoa using just a computer and a digital camera connected to a phase contrast microscope, which ...
Contributions Intelligent boar sperm segmentation using thresholding and Watershed A bad segmented sperm head could lead to further errors in description and classification stages. ...
than classifying intact and damaged acrosomes (indeed, it is still an open problem). ...
doi:10.5565/rev/elcvia.606
fatcat:5t4nz3drrnhdvhjlrkbrkvmnxm
Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation
[chapter]
2013
Lecture Notes in Computer Science
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Concerning the global description of sperm heads, several classical texture algorithms were tested and a descriptor based on Wavelet transform and Haralick feature extraction (WCF13) obtained the best ...
A new method to describe sperm vitality using a hybrid combination of local and global texture descriptors is proposed in this paper. ...
The authors would like to thank CENTROTEC for providing us the semen samples and for their collaboration in the acquisition of the images. ...
doi:10.1007/978-3-642-37410-4_6
fatcat:dwe27rzm5baflhn5iost3byk4e
Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ
2013
Computer Methods and Programs in Biomedicine
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We use gray level images in which spermatozoa have been labelled as acrosome-intact or acrosome damaged using the information of a coupled fluorescent image. ...
This paper proposes a method for assessing the acrosome state of boar spermatozoa heads using digital image processing. ...
The authors would like to thank CENTROTEC for providing us the semen samples and for their collaboration in the image acquisition. ...
doi:10.1016/j.cmpb.2013.05.003
pmid:23790406
fatcat:aapd42x5mfhn7gvvnbtcc55c2e