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

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

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014
Publisher	IEEE Computer Society
Pages	102-106
Number of pages	5
ISBN (Electronic)	9781509004218
DOIs	https://doi.org/10.1109/SCCC.2014.17
State	Published - 1 Sep 2016
Event	33rd International Conference of the Chilean Computer Science Society, SCCC 2014 - Talca, Maule, Chile Duration: 12 Nov 2014 → 14 Nov 2014

Publication series

Name	Proceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume	2016-September
ISSN (Print)	1522-4902

Conference

Conference	33rd International Conference of the Chilean Computer Science Society, SCCC 2014
Country/Territory	Chile
City	Talca, Maule
Period	12/11/14 → 14/11/14

Keywords

CBIR
Human Parasite Eggs
Multitexton Histogram descriptor
Textons

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SCCC.2014.17

Cite this

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. In Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014 (pp. 102-106). Article 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).

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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",

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doi = "10.1109/SCCC.2014.17",

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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. in 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).

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

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AU - Castanon, Cesar A.Beltran

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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. In 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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this