Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons

Roxana Flores-Quispe; Yuber Velazco-Paredes; Raquel Esperanza Patino Escarcina; Cesar A.Beltran Castanon

doi:10.1109/SCCC.2014.17

Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons

Roxana Flores-Quispe, Yuber Velazco-Paredes, Raquel Esperanza Patino Escarcina, Cesar A.Beltran Castanon

San Pablo Catholic University

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

In order to identify the parasitic diseases, this paper propose the automatic identification of Human Parasite Eggs to eight different species: Ascaris, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hep&x00E1;ticaand Enterobius-Vermicularis from their microscopic imagesbased on Multitexton Histogram - MTH using new structuresof textons. This proposed system includes two stages. In firststage, a feature extraction mechanism that is based on MTHdescriptor retrieving the relationships between textons. In second stage, an CBIR system has been implemented in orden to detect their correct species of helminths. Finally, simulation results show overall success rates of 94,78% in the detection.

Idioma original	Inglés
Título de la publicación alojada	Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014
Editorial	IEEE Computer Society
Páginas	102-106
Número de páginas	5
ISBN (versión digital)	9781509004218
DOI	https://doi.org/10.1109/SCCC.2014.17
Estado	Publicada - 1 set. 2016
Evento	33rd International Conference of the Chilean Computer Science Society, SCCC 2014 - Talca, Maule, Chile Duración: 12 nov. 2014 → 14 nov. 2014

Serie de la publicación

Nombre	Proceedings - International Conference of the Chilean Computer Science Society, SCCC
Volumen	2016-September
ISSN (versión impresa)	1522-4902

Conferencia

Conferencia	33rd International Conference of the Chilean Computer Science Society, SCCC 2014
País/Territorio	Chile
Ciudad	Talca, Maule
Período	12/11/14 → 14/11/14

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1109/SCCC.2014.17

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Flores-Quispe, R., Velazco-Paredes, Y., Escarcina, R. E. P., & Castanon, C. A. B. (2016). Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons. En Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014 (pp. 102-106). Artículo 7559684 (Proceedings - International Conference of the Chilean Computer Science Society, SCCC; Vol. 2016-September). IEEE Computer Society. https://doi.org/10.1109/SCCC.2014.17

Flores-Quispe, Roxana ; Velazco-Paredes, Yuber ; Escarcina, Raquel Esperanza Patino et al. / Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons. Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014. IEEE Computer Society, 2016. pp. 102-106 (Proceedings - International Conference of the Chilean Computer Science Society, SCCC).

@inproceedings{755253bc5a7140a89de4f8571b7d1c1c,

title = "Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons",

abstract = "In order to identify the parasitic diseases, this paper propose the automatic identification of Human Parasite Eggs to eight different species: Ascaris, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hep&x00E1;ticaand Enterobius-Vermicularis from their microscopic imagesbased on Multitexton Histogram - MTH using new structuresof textons. This proposed system includes two stages. In firststage, a feature extraction mechanism that is based on MTHdescriptor retrieving the relationships between textons. In second stage, an CBIR system has been implemented in orden to detect their correct species of helminths. Finally, simulation results show overall success rates of 94,78% in the detection.",

keywords = "CBIR, Human Parasite Eggs, Multitexton Histogram descriptor, Textons",

author = "Roxana Flores-Quispe and Yuber Velazco-Paredes and Escarcina, {Raquel Esperanza Patino} and Castanon, {Cesar A.Beltran}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 33rd International Conference of the Chilean Computer Science Society, SCCC 2014 ; Conference date: 12-11-2014 Through 14-11-2014",

year = "2016",

month = sep,

day = "1",

doi = "10.1109/SCCC.2014.17",

language = "English",

series = "Proceedings - International Conference of the Chilean Computer Science Society, SCCC",

publisher = "IEEE Computer Society",

pages = "102--106",

booktitle = "Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014",

}

Flores-Quispe, R, Velazco-Paredes, Y, Escarcina, REP & Castanon, CAB 2016, Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons. En Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014., 7559684, Proceedings - International Conference of the Chilean Computer Science Society, SCCC, vol. 2016-September, IEEE Computer Society, pp. 102-106, 33rd International Conference of the Chilean Computer Science Society, SCCC 2014, Talca, Maule, Chile, 12/11/14. https://doi.org/10.1109/SCCC.2014.17

Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons. / Flores-Quispe, Roxana; Velazco-Paredes, Yuber; Escarcina, Raquel Esperanza Patino et al.
Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014. IEEE Computer Society, 2016. p. 102-106 7559684 (Proceedings - International Conference of the Chilean Computer Science Society, SCCC; Vol. 2016-September).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons

AU - Flores-Quispe, Roxana

AU - Velazco-Paredes, Yuber

AU - Escarcina, Raquel Esperanza Patino

AU - Castanon, Cesar A.Beltran

PY - 2016/9/1

Y1 - 2016/9/1

N2 - In order to identify the parasitic diseases, this paper propose the automatic identification of Human Parasite Eggs to eight different species: Ascaris, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hep&x00E1;ticaand Enterobius-Vermicularis from their microscopic imagesbased on Multitexton Histogram - MTH using new structuresof textons. This proposed system includes two stages. In firststage, a feature extraction mechanism that is based on MTHdescriptor retrieving the relationships between textons. In second stage, an CBIR system has been implemented in orden to detect their correct species of helminths. Finally, simulation results show overall success rates of 94,78% in the detection.

AB - In order to identify the parasitic diseases, this paper propose the automatic identification of Human Parasite Eggs to eight different species: Ascaris, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hep&x00E1;ticaand Enterobius-Vermicularis from their microscopic imagesbased on Multitexton Histogram - MTH using new structuresof textons. This proposed system includes two stages. In firststage, a feature extraction mechanism that is based on MTHdescriptor retrieving the relationships between textons. In second stage, an CBIR system has been implemented in orden to detect their correct species of helminths. Finally, simulation results show overall success rates of 94,78% in the detection.

KW - CBIR

KW - Human Parasite Eggs

KW - Multitexton Histogram descriptor

KW - Textons

UR - http://www.scopus.com/inward/record.url?scp=84989810751&partnerID=8YFLogxK

U2 - 10.1109/SCCC.2014.17

DO - 10.1109/SCCC.2014.17

M3 - Conference contribution

AN - SCOPUS:84989810751

T3 - Proceedings - International Conference of the Chilean Computer Science Society, SCCC

SP - 102

EP - 106

BT - Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014

PB - IEEE Computer Society

T2 - 33rd International Conference of the Chilean Computer Science Society, SCCC 2014

Y2 - 12 November 2014 through 14 November 2014

ER -

Flores-Quispe R, Velazco-Paredes Y, Escarcina REP, Castanon CAB. Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons. En Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014. IEEE Computer Society. 2016. p. 102-106. 7559684. (Proceedings - International Conference of the Chilean Computer Science Society, SCCC). doi: 10.1109/SCCC.2014.17

Automatic Identification of Human Parasite Eggs Based on Multitexton Histogram Retrieving the Relationships between Textons

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto