Saliency-aware food image segmentation for personal dietary assessment using a wearable computer.

Chen, Hsin-Chen; Jia, Wenyan; Sun, Xin; Li, Zhaoxin; Li, Yuecheng; Fernstrom, John D; Burke, Lora E; Baranowski, Thomas; Sun, Mingui

Chen, Hsin-Chen; Jia, Wenyan; Sun, Xin; Li, Zhaoxin; Li, Yuecheng; Fernstrom, John D; Burke, Lora E; Baranowski, Thomas; Sun, Mingui.

Afiliação

Chen HC; Department of Radiation Oncology, Washington University in Saint Louis, Saint Louis, MO, USA ; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Jia W; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Sun X; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Li Z; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Li Y; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Fernstrom JD; Department of Psychiatry and Pharmacology, University of Pittsburgh, Pittsburgh, PA, USA.
Burke LE; Health and Community Systems, University of Pittsburgh, Pittsburgh, PA, USA.
Baranowski T; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Sun M; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA ; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA ; Department of Electrical Engineering, University of Pittsburgh, Pittsburgh, PA, USA.

Meas Sci Technol ; 26(2)2015 Feb.

Article em En | MEDLINE | ID: mdl-26257473

Palavras-chave

active contour model; food segmentation; multi-resolution; quantitative dietary assessment; saliency map

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Meas Sci Technol Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

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