Multilevel segmentation for food classification in dietary assessment

  title={Multilevel segmentation for food classification in dietary assessment},
  author={Fengqing Maggie Zhu and Marc Bosch and Nitin Khanna and Carol Jo Boushey and Edward J. Delp},
  journal={2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA)},
Given a dataset of images, we seek to automatically identify and locate perceptually similar objects. We combine two ideas to achieve this: a set of segmented objects can be partitioned into perceptually similar object classes based on global and local features; and perceptually similar object classes can be used to assess the accuracy of image segmentation. These ideas are implemented by generating multiple segmentations of each image and then learning the object class by combining different… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
23 Extracted Citations
7 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 23 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-7 of 7 references

Technology in Children's Dietary Assessment

  • Delp, Use
  • European Journal of Clinical Nutrition,
  • 2009

Similar Papers

Loading similar papers…