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Titlebook: Computer-Assisted Microscopy; The Measurement and John C. Russ Book 1990 Plenum Press, New York 1990 algorithms.computer system.image anal

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Acquiring Images,ntered. In particular, images are usually of surfaces, although they may not necessarily be restricted to flat surfaces, or of objects within a transparent volume of some known thickness. The later situation includes observing objects such as particles sitting on a substrate.
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Stereological Interpretation of Measurement Data, come from the mathematical field of geometrical probability which has deep roots (Buffon, 1777), but it is not essential to be comfortable with the derivations of the tools to be able to utilize them. (For comprehensive references to stereological interpretation, see DeHoff & Rhines, 1968; Underwood, 1970; Weibel, 1979; Russ, 1986).
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The Explanatory Power of Modelss heavy with diagrams and graphs. Most of us learn visually. As age diminishes the acuity of our senses, we use eyeglasses commonly, hearing aids occasionally, and practically never any prosthetic aids for any of the remaining senses. The Chinese proverb that a picture is worth 1000 words probably underestimates.
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Introduction,s heavy with diagrams and graphs. Most of us learn visually. As age diminishes the acuity of our senses, we use eyeglasses commonly, hearing aids occasionally, and practically never any prosthetic aids for any of the remaining senses. The Chinese proverb that a picture is worth 1000 words probably underestimates.
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Book 1990recent years, as computer power has increased and costs have dropped. Software to perform each of the various tasks described in this book exists now, and without doubt additional algorithms to accomplish these same things more efficiently, and to perform new kinds of image processing, feature discr
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Image Processing, grey scale image. The next chapter will deal with some additional techniques that operate on grey-scale images for purposes of locating feature edges in the context of isolating features for measurement.
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Object Recognition,teresting applications of artificial intelligence. At the low end, it can be as “simple” as OCR (Optical Character Recognition), used in processing checks, sorting mail, and closely related to the location and reading of UPC (Universal Product Codes) symbols on packaged food at the supermarket.
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