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Color energy as a seed descriptor for image segmentation with region growing algorithms on skin wound images

Authors :
Claudia PatrĂ­cia Cardoso Martins Siqueira
Andre Giovanni Castaldin
Ivan Frederico Lupiano Dias
Alan Salvany Felinto
Jose Luis Seixas
Sylvio Barbon
Seixas, J. L.
Barbon Junior, S
Siqueira, C. M.
Dias, I. F. L.
Castaldin, A. G.
Felinto, A. S.
Source :
Healthcom
Publication Year :
2014

Abstract

This paper presents a seed finding method for region growing segmentation approach using color channel energy in image regions. Instead of using the RGB system separated for each pixel, the proposal uses the energy on each color channel to improve the range of the possible values, then creates a more specific seed to detail different regions. Region size used to calculate energy was adjusted to verify the proposed method. Images used were real wound photos, taken from patients undergoing treatment at the university hospital. Results showed that energy on regions presents enough information to segment, leading to a high percentage of matching with experts marks.

Details

Database :
OpenAIRE
Journal :
Healthcom
Accession number :
edsair.doi.dedup.....20dbc04ebe6ba7a33bfd520f2ad0a0ce