INVARIANT CORRELATION WITH SPECIES-SPECIFIC COMPOSITE FILTERS FOR THE RECOGNITION OF TRICHODINIDS (CILIOPHORA: PERITRICHIDA) PARASITIZING OREOCHROMIS NILOTICUS (LINNAEUS, 1758) BASED ON MORPHOLOGICAL METHODS
Descripción del Articulo
Trichodinids are the most common ectoparasites of both freshwater and marine fishes. Their generic identification is relatively easy, while the specific diagnosis is laborious due to the high intraspecific variability of some species. Four species of the genus Trichodina from the skin and fins of Or...
Autores: | , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad Nacional Federico Villarreal |
Repositorio: | Revistas - Universidad Nacional Federico Villarreal |
Lenguaje: | español |
OAI Identifier: | oai:ojs2.revistas.unfv.edu.pe:article/1223 |
Enlace del recurso: | https://revistas.unfv.edu.pe/NH/article/view/1223 |
Nivel de acceso: | acceso abierto |
Materia: | Trichodina Oreochromis niloticus taxonomy automatic systems invariant correlation taxonomía sistemas automáticos correlación invariante |
Sumario: | Trichodinids are the most common ectoparasites of both freshwater and marine fishes. Their generic identification is relatively easy, while the specific diagnosis is laborious due to the high intraspecific variability of some species. Four species of the genus Trichodina from the skin and fins of Oreochromis niloticus (Linnaeus, 1758) Egyptian black variety were identified by means of morphological methods and the use of digital correlation invariant to position, rotation and scale by species specific composite filters. Trichodina magna Van As Bassson, 1989 and Trichodina nigra Lom, 1961 represent new records of host and geographic location, while Trichodina centrostrigata Van As, Basson & Van As, 1998 and Trichodina heterodentata Duncan, 1977, have already been reported for O. niloticus in Mexico. The automatic identification of the four species studied was done through the development and application of a mathematical algorithm within a recognition process of objects (invariant digital correlation), based on the frequency contents of the parasite species. This algorithm essential characteristic is its use to recognize the object in spite of the fact that its location level has changes of position, rotation and scale. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).