Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ
We consider images of boar spermatozoa obtained with an optical phase-contrast
microscope. Our goal is to automatically classify single sperm cells as acrosome-intact …
microscope. Our goal is to automatically classify single sperm cells as acrosome-intact …
Texture and moments-based classification of the acrosome integrity of boar spermatozoa images
The automated assessment of the sperm quality is an important challenge in the veterinary
field. In this paper, we explore how to describe the acrosomes of boar spermatozoa using …
field. In this paper, we explore how to describe the acrosomes of boar spermatozoa using …
Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors
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 …
since it is one of the main causes of function loss. In this work, boar spermatozoa present in …
Statistical approach to boar semen evaluation using intracellular intensity distribution of head images
We propose a method for the classification of boar sperm heads based on their intracellular
intensity distributions observed in microscopic images. The image pre-processing comprises …
intensity distributions observed in microscopic images. The image pre-processing comprises …
Comparison of supervised and unsupervised methods to classify boar acrosomes using texture descriptors
This work compares supervised and unsupervised techniques to classify images of boar
sperm heads according to their membrane integrity. We have used 5 different descriptors to …
sperm heads according to their membrane integrity. We have used 5 different descriptors to …
[PDF][PDF] Acrosome integrity classification of boar spermatozoon images using dwt and texture descriptors
Automatic assessment of boar sperm head images according to their acrosome status is a
challenge task in the veterinary field. In this paper we explore how much information texture …
challenge task in the veterinary field. In this paper we explore how much information texture …
LVQ acrosome integrity assessment of boar sperm cells
We consider images of boar spermatozoa obtained with an optical phase-contrast
microscope. Our goal is to automatically classify single sperm cells as acrosome-intact …
microscope. Our goal is to automatically classify single sperm cells as acrosome-intact …
Classification of boar sperm head images using learning vector quantization
Abstract We apply Learning Vector Quantization (LVQ) in automated boar semen quality
assessment. The classification of single boar sperm heads into healthy (normal) and non …
assessment. The classification of single boar sperm heads into healthy (normal) and non …
Descripción adaptativa de texturas y estimación de las probabilidades a priori de las clases para el control de calidad seminal= Adaptive Texture Description and …
V González Castro - 2011 - buleria.unileon.es
En esta tesis se han evaluado varias técnicas para describir texturas en una imagen digital.
Además, hemos propuesto un nuevo método de segmentación inteligente, un descriptor de …
Además, hemos propuesto un nuevo método de segmentación inteligente, un descriptor de …
Estimation of boar sperm status using intracellular density distribution in grey level images
In this work we review three methods proposed to estimate the fraction of alive sperm cells in
boar semen samples. Images of semen samples are acquired, preprocessed and …
boar semen samples. Images of semen samples are acquired, preprocessed and …