Computer Vision for Microscopy Applications

  title={Computer Vision for Microscopy Applications},
  author={Nikita Orlov and Josiah Johnston and Tomasz J. Macura and Lior Shamir and Ilya G. Goldberg},
The tremendous growth in digital imagery has introduced the need for accurate image analysis and classification. The applications include content based image retrieval in the World Wide Web and digital libraries (Dong & Yang, 2002; Heidmann, 2005; Smeulders et al., 2000; Veltkamp et al., 2001) scene classification (Huang et al., 2005; Jiebo et al., 2005), face recognition (Jing & Zhang, 2006; Pentland & Choudhury, 2000; Shen & Bai, 2006) and biological and medical image classification (Awate et… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 54 references

A Feature Set for Cytometry on Digitized Microscopic Images

Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology • 2003
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Pattern Recognition Letters • 2007
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