Data/hora: 28/05/2024 02:14:19

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 12/12/1997
Data da última atualização: | 17/03/2011
Autoria: | SANZ, A. C.; GALIMBERTI, C.; NAIOUF, M.; DE GIUSTI, A.
Afiliação: | CECILIA SANZ, Universidad Nacional de La Plata (UNLP); CARLA GALIMBERTI, UNLP; MARCELO NAIOUF, UNLP; ARMANDO DE GIUSTI, UNLP.
Título: | Cells pattern-based recognition and counting, using Khoros.
Ano de publicação: | 1997
Fonte/Imprenta: | In: CONGRESO INTERNACIONAL DE INGENIERIA INFORMÁTICA, 3., 1997, Buenos Aires. Proceedings... Buenos Aires: Universidad de Buenos Aires, Facultad de Inginieria, 1997.
Páginas: | p. 234-246.
Idioma: | Inglês
Conteúdo: | A solution to a medical problem of hypophysis tissue cells separation and counting using pattern recognition is presented. The tool used is the Khoros development environment, and particularly cantata visual programming language. The medical problem to solve involves somatotrop cells counting in male rats, classified in three different groups based on photographs obtained from the microscope. The images present cell groupings, which makes the counting difficult in those regions. From the computational viewpoint, a solution automating the slow, manual, specialist-depending counting process is given. This process classifies the objects on the image as groups of one, two or more cells. The pattern recognition techniques by means of a minimum distance classifier is used. Finally, the results obtained after applying the algorithm on a representative sample of real photographs are presented.
Palavras-Chave: | Algoritmo; Ambiente Cantata; Contagem de células; Image processing; Khoros; Software; Técnica de reconhecimento de padrões.
Thesaurus Nal: | Algorithms; Computer science.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (6162-1) - ADD - PL - PP - 004 - CON - 1997.00008 - DIS