Back to Search
Start Over
Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ.
- Source :
-
Computer Methods & Programs in Biomedicine . Sep2013, Vol. 111 Issue 3, p525-536. 12p. - Publication Year :
- 2013
-
Abstract
- Abstract: This paper proposes a method for assessing the acrosome state of boar spermatozoa heads using digital image processing. We use gray level images in which spermatozoa have been labeled as acrosome-intact or acrosome damaged using the information of a coupled fluorescent image. The heads are segmented obtaining the outer head contour. A set of ānā inner contours separated by a logarithmic distance function is calculated later. For each point of the, in this case, seven contours a number of local texture features are computed. We have compared the classification performance of Relevance Learning Vector Quantization, class conditional means and KNN, employing cross-validation for the evaluation. Gradient magnitude data offer the best result with an overall test error of only 1%. This result outperforms previously applied methods and suggests this approach as an interesting automatized approach to this veterinarian problem. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 01692607
- Volume :
- 111
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Computer Methods & Programs in Biomedicine
- Publication Type :
- Academic Journal
- Accession number :
- 89344319
- Full Text :
- https://doi.org/10.1016/j.cmpb.2013.05.003