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.
|Title of host publication||Proceedings - 2014 33rd International Conference of the Chilean Computer Science Society, SCCC 2014|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|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
|Name||Proceedings - International Conference of the Chilean Computer Science Society, SCCC|
|Conference||33rd International Conference of the Chilean Computer Science Society, SCCC 2014|
|Period||12/11/14 → 14/11/14|
Bibliographical notePublisher Copyright:
© 2014 IEEE.
- Human Parasite Eggs
- Multitexton Histogram descriptor