A cavity depth and volume estimation technique to support data collection in an image mining oriented geoprocessing system

  • Authors:
  • Edvar F. Rocha, Jr.;Vanessa Gonçalves Silva;Renato Da Guadagnin;Levy A. Santana;Rinaldo De Neves;Jose Antonio Iturri De La Mata

  • Affiliations:
  • Bacharelado em Fisioterapia, Universidade Católica de Brasília, Taguatinga, DF, Brazil;Bacharelado em Fisioterapia, Universidade Católica de Brasília, Taguatinga, DF, Brazil;Mestrado em Gestão do Conhecimento e da Tecnologia da Informação, Universidade Católica de Brasília, Brasilia, DF, Brazil 70.790-160;Bacharelado em Fisioterapia, Universidade Católica de Brasília, Taguatinga, DF, Brazil;Fundação de Ensino e Pesquisa em Ciências da Saúde (FEPECS), Escola Superior de Ciências da Saúde (ESCS), Samambaia, DF, Brazil;Faculdade de Ceilândia / Universidade de Brasília (FCE/UnB), Brasília, DF, Brasil 72220-140

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2011

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Abstract

Spatially defined information is essential to support decision making in several areas, such as in therapeutic procedures to reduce or healing lesions in human body. So localization together with images and many other data can constitute a database to feed an Image Mining oriented Geoprocessing. Besides that low cost additional infrastructures are attractive to install large-scale use of image capturing and interpretation for health assistance. In such context geometric features of cavities can be remotely captured to monitor patients with wounds called pressure ulcers (PU). An image with linear shadows on the cavity of a model is generated in order to enable the measurement of its deformation caused by depth. This yields maximum depth and volume in an experimental model that are compared with measurements made previously in a conventional manner. Partially satisfactory results suggest improvements in image capturing device and computational procedures.