EVALUATION OF DEVELOPED SOFTWARE FOR CALCULATING HISTOGRAM INTERSECTION DISTANCES

Autores

  • Fernanda Aline Boff Universidade Estadual de Ponta Grossa
  • Márcio Hosoya Name Universidade Federal do Paraná
  • Rosane Falate Universidade Estadual de Ponta Grossa

Palavras-chave:

Illumination, Orientation, Color space, Similarity, ALOI

Resumo

This paper presents the results obtained using a developed software implementing the histogram intersection metric to compare images of three different objects under different situations. The images were obtained from the website of Amsterdam Library of Object Images and were divided into two sets: changes on viewpoints of the objects and changes on illumination colors. The histogram intersection distances varied from 0.723 to 1.000, when occurs changes in the viewpoints, and from 0.505 to 1.000, when happens changes in illumination colors. These results are expected since the rotation of objects with symmetric shape slightly modifies the histogram distribution. On the other hand, in the case of illumination color changes, bigger variations are predictable since it directly alters the values of pixels.

Biografia do Autor

Fernanda Aline Boff, Universidade Estadual de Ponta Grossa

Departamento de Informática

Márcio Hosoya Name, Universidade Federal do Paraná

Gestão de Tecnologia da Informação 

Rosane Falate, Universidade Estadual de Ponta Grossa

Departamento de Informática

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Publicado

2013-10-29

Edição

Seção

Papers