TY - CHAP
T1 - Sperm cells segmentation in micrographic images through Lambertian reflectance model
AU - Medina-Rodríguez, Rosario
AU - Guzmán-Masías, Luis
AU - Alatrista-Salas, Hugo
AU - Beltrán-Castañón, Cesar
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84945956373&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84945956373&origin=inward
U2 - 10.1007/978-3-319-23117-4_57
DO - 10.1007/978-3-319-23117-4_57
M3 - Chapter
SN - 9783319231167
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 664
EP - 674
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 1 January 2015
ER -