Image Collection, Analysis, and Reconstruction by Computer

  • Theodore George Rochow
  • Paul Arthur Tucker


Automated image processing has facilitated new insight into complex data; for example it is no longer necessary to view a three-dimensional specimen as a series of two-dimensional slices. A three-dimensional image can be reconstructed, and this new image can be electronically rotated or subsections of it studied at high resolution, although a more common application is automated statistical characterization of a complex two-dimensional image. Parameters can be measured and aspect statistics calculated on a large enough population to make such numerical characterization impossible by manual means. We must recall the concept of empty magnification versus resolution when we hear that it is possible to magnify up to one thousand or more by video microscopy with a low-resolution objective. Classical principles still apply to these new techniques.(1)


Image Collection Frame Grabber Artificial Color Baud Rate Automate Image Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • Theodore George Rochow
    • 1
  • Paul Arthur Tucker
    • 1
  1. 1.North Carolina State University at RaleighRaleighUSA

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