Sperm cells segmentation in micrographic images through Lambertian reflectance model

Rosario Medina-Rodríguez, Luis Guzmán-Masías, Hugo Alatrista-Salas, Cesar Beltrán-Castañón

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

Nowadays, male infertility has increased worldwide. Therefore, a rigorous analysis of sperm cells is required to diagnose this problem. Currently, this analysis is performed based on the expert opinion. In order to support the experts in fertility diagnosis, several image processing techniques have been proposed. In this paper, we present an approach that combines the Lambertian model based on surface reflectance with mathematical morphology for sperm cells segmentation in micrographic images. We have applied our approach to a set of 73 images. The results of our approach have been evaluated based on ground truth segmentations and similarity indices, finding a high correlation between our results and manual segmentation.

Idioma originalInglés
Título de la publicación alojadaComputer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings
EditoresGeorge Azzopardi, Nicolai Petkov
EditorialSpringer Verlag
Páginas664-674
Número de páginas11
ISBN (versión impresa)9783319231167
DOI
EstadoPublicada - 2015
Evento16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015 - Valletta, Malta
Duración: 2 set. 20154 set. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9257
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015
País/TerritorioMalta
CiudadValletta
Período2/09/154/09/15

Huella

Profundice en los temas de investigación de 'Sperm cells segmentation in micrographic images through Lambertian reflectance model'. En conjunto forman una huella única.

Citar esto