Sperm cells segmentation in micrographic images through Lambertian reflectance model

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

doi:10.1007/978-3-319-23117-4_57

Sperm cells segmentation in micrographic images through Lambertian reflectance model

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

Group of Assisted Reproduction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings
Editors	George Azzopardi, Nicolai Petkov
Publisher	Springer Verlag
Pages	664-674
Number of pages	11
ISBN (Print)	9783319231167
DOIs	https://doi.org/10.1007/978-3-319-23117-4_57
State	Published - 2015
Event	16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015 - Valletta, Malta Duration: 2 Sep 2015 → 4 Sep 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9257
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015
Country/Territory	Malta
City	Valletta
Period	2/09/15 → 4/09/15

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10.1007/978-3-319-23117-4_57

Cite this

Medina-Rodríguez, R., Guzmán-Masías, L., Alatrista-Salas, H., & Beltrán-Castañón, C. (2015). Sperm cells segmentation in micrographic images through Lambertian reflectance model. In G. Azzopardi, & N. Petkov (Eds.), Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings (pp. 664-674). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9257). Springer Verlag. https://doi.org/10.1007/978-3-319-23117-4_57

Medina-Rodríguez, Rosario ; Guzmán-Masías, Luis ; Alatrista-Salas, Hugo et al. / Sperm cells segmentation in micrographic images through Lambertian reflectance model. Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings. editor / George Azzopardi ; Nicolai Petkov. Springer Verlag, 2015. pp. 664-674 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Sperm cells segmentation in micrographic images through Lambertian reflectance model",

abstract = "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.",

author = "Rosario Medina-Rodr{\'i}guez and Luis Guzm{\'a}n-Mas{\'i}as and Hugo Alatrista-Salas and Cesar Beltr{\'a}n-Casta{\~n}{\'o}n",

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Medina-Rodríguez, R, Guzmán-Masías, L, Alatrista-Salas, H & Beltrán-Castañón, C 2015, Sperm cells segmentation in micrographic images through Lambertian reflectance model. in G Azzopardi & N Petkov (eds), Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9257, Springer Verlag, pp. 664-674, 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, Valletta, Malta, 2/09/15. https://doi.org/10.1007/978-3-319-23117-4_57

Sperm cells segmentation in micrographic images through Lambertian reflectance model. / Medina-Rodríguez, Rosario; Guzmán-Masías, Luis; Alatrista-Salas, Hugo et al.
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings. ed. / George Azzopardi; Nicolai Petkov. Springer Verlag, 2015. p. 664-674 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9257).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

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.

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DO - 10.1007/978-3-319-23117-4_57

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AN - SCOPUS:84945956373

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 - Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings

A2 - Azzopardi, George

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PB - Springer Verlag

T2 - 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015

Y2 - 2 September 2015 through 4 September 2015

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Medina-Rodríguez R, Guzmán-Masías L, Alatrista-Salas H , Beltrán-Castañón C. Sperm cells segmentation in micrographic images through Lambertian reflectance model. In Azzopardi G, Petkov N, editors, Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings. Springer Verlag. 2015. p. 664-674. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-23117-4_57

Sperm cells segmentation in micrographic images through Lambertian reflectance model

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