Combined Detection and Segmentation of Overlapping Erythrocytes in Microscopy Images Using Morphological Image Processing
Título del documento: Combined Detection and Segmentation of Overlapping Erythrocytes in Microscopy Images Using Morphological Image Processing
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560760
ISSN: 1405-5546
Autores: 2
1
3
1
Instituciones: 1Universidad Central "Marta Abreu" de Las Villas, Centro de Investigaciones de la Informática, Santa Clara, Villa Clara. Cuba
2Universidad de Oriente, Centro de Estudios de Neurociencias, Procesamiento de Imágenes y Señales, Cumaná, Sucre. Cuba
3Universidad Central "Marta Abreu" de Las Villas, Centro de Estudio de Métodos Computacionales y Numéricos en la Ingeniería (CEMNI), Santa Clara, Villa Clara. Cuba
Año:
Periodo: Oct-Dic
Volumen: 26
Número: 4
Paginación: 1569-1586
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés Segmentation of clusters of erythrocytes into their constituent single cells is a procedure needed in various biomedical applications related to microscopy images. This task is part of the general problem of splitting clumps of objects in images which continues being an open research topic in the Image Processing field. This work presents a unified morphological method to detect and segment clusters of erythrocytes in microscopy images, and proposes two main contributions. The first one is to formulate and evaluate a method to detect clusters as connected components in binary images, obtained from a previous coarse segmentation, which is not capable of further dividing a cluster into its constituent cells. Secondly, to propose the best alternative to split the clusters into their constituent individual cells after evaluating three algorithms based in the combination of the transforms: H-maxima, weighted external distance and marker-controlled watershed. Evaluation of the proposed cluster detection methods was made in terms of standard measures of effectiveness. Segmentation accuracy was evaluated comparing the segmented objects obtained to a manually segmented ground truth, by means of the Jaccard index. Then the Friedman test allowed validating the advantages of the proposed method in comparison to the other alternatives studied here.
Disciplinas: Ciencias de la computación
Palabras clave: Procesamiento de datos
Keyword: Data processing
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