Technique for normalizing intensity histograms of images when the approximate size of the target is known: Detection of feces on apples using fluorescence imaging

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Computers and Electronics in Agriculture

• Publication date

  2006-02-01

• Fields of study

  Mathematics, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.COMPAG.2005.10.001
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2002influential reference
• HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY

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