Boar Spermatozoa Classification Using Longitudinal and Transversal Profiles (LTP) Descriptor in Digital Images View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Enrique Alegre , Oscar García-Olalla , Víctor González-Castro , Swapna Joshi

ABSTRACT

A new textural descriptor, named Longitudinal and Transversal Profiles (LTP), has been proposed. This descriptor was used to classify 376 images of dead spermatozoa heads and 472 images of alive ones. The result obtained with this descriptor has been compared with the Pattern spectrum, Flusser, Hu, and a descriptor based on statistical values of the histogram. The features vectors computed have been classified using a back-propagation Neural Network and the kNN (k Nearest Neighbours) algorithm. Classification error obtained with LTP was 30.58% outperforming the other descriptors. The area under the ROC curve (AUC) has also been calculated confirming that the performance of the proposed descriptor is better that of the other texture descriptors. More... »

PAGES

410-419

Book

TITLE

Combinatorial Image Analysis

ISBN

978-3-642-21072-3
978-3-642-21073-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-21073-0_36

DOI

http://dx.doi.org/10.1007/978-3-642-21073-0_36

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013510569


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