Semi-automated counting model for arbuscular mycorrhizal fungi spores using the Circle Hough Transform and an artificial neural network
Título del documento: Semi-automated counting model for arbuscular mycorrhizal fungi spores using the Circle Hough Transform and an artificial neural network
Revista: Anais da Academia Brasileira de Ciencias
Base de datos: PERIÓDICA
Número de sistema: 000436264
ISSN: 0001-3765
Autores: 1
2
2
2
3
Instituciones: 1Universidade Federal da Bahia, Programa de Engenharia Industrial, Salvador, Bahia. Brasil
2Universidade Estadual do Sudoeste da Bahia, Departamento de Ciencias Exatas e Tecnologicas, Vitoria da Conquista, Bahia. Brasil
3Universidade Federal da Bahia, Centro de Formacao em Tecno-Ciencias, Itabuna, Bahia. Brasil
Año:
Volumen: 91
Número: 4
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado, descriptivo
Resumen en inglés Arbuscular Mycorrhizae (AM) are mutualistic associations between Arbuscular Mycorrhizal Fungi (AMF) and the roots of many plant species. AMF spores give rise to filaments that develop in the root system of plants and contribute to the absorption of water and some nutrients. This article introduces a semi-automated counting model of AMF spores in slide images based on Artificial Neural Network (ANN). The semi-automated counting of AMF spores facilitates and accelerates the tasks of researchers, who still do the AMF spore counting manually. We built a representative database of spore images, processing images through the Circle Hough Transform (CHT) method and training an ANN to classify patterns automatically. The classification analysis and the performances of the proposed method against the manual method are presented in this paper. The accuracy for the identification of spores by CHT in conjunction to ANN classification in the images was 90%. The results indicate that this method can accurately detect the presence of AMF spores in images as well as count them with a high level of confidence
Disciplinas: Ciencias de la computación,
Biología
Palabras clave: Procesamiento de datos,
Hongos,
Conteo celular,
Esporas,
Micorrizas arbusculares,
Transformada Circle Hough,
Procesamiento de imágenes,
Clasificación de patrones,
Conteo semiautomático,
Redes neuronales artificiales
Keyword: Data processing,
Fungi,
Cell count,
Spores,
Arbuscular mycorrhizae,
Artificial neural networks,
Circle Hough transform,
Image processing,
Pattern classification,
Semi-automated counting
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