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

3 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

ODS 3: Salud y bienestar

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10.1109/SCCC.2014.17

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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",

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doi = "10.1109/SCCC.2014.17",

language = "English",

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

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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

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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.

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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

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