Abstract A new method to describe texture images using a hybrid combination of local and global texture descriptors is proposed in this paper. In this regard, a new adaptive local …
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 …
A new method to describe sperm vitality using a hybrid combination of local and global texture descriptors is proposed in this paper. In this regard, a new adaptive local binary …
In this paper, we demonstrate that the Adaptive Local Binary Pattern with oriented Standard deviation (ALBPS) method outperforms the original local binary pattern (LBP) as well as …
This paper extends previous work on the assessment of boar sperm cells in order to discriminate amongst intact or reacted acrosomes for fertility purposes. The aim of the study …
In this work, we propose a new texture descriptor made by combination of Local binary pattern (LBP) and N-concentric squares resized (NCSR) in order to classify boar …
L Sánchez, H Quintian, J Alfonso-Cendón… - … Joint Conference SOCO …, 2017 - Springer
This paper employs well-known techniques as Support Vector Machines and Neural Networks in order to classify images of boar sperm cells. Acrosome integrity gives …
The assessment of the state of the acrosome is a priority in artificial insemination centres since it is one of the main causes of function loss. In this work, boar spermatozoa present in …
[引用][C]Methods for improving texture description by using statistical information extracted from the image gradient= Técnicas para la mejora de la descripción de …