000
| 02907cam 2200385za 4500 |
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001 | 9.866564 |
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003 | CaOODSP |
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005 | 20221107162057 |
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007 | cr ||||||||||| |
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008 | 190103s1986 onc #ob f000 0 eng |
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020 | |z0660122197 |
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040 | |aCaOODSP|beng |
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041 | |aeng|bfre |
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043 | |an-cn--- |
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086 | 1 |aM38-13/86-4E-PDF|zM38-13/86-4E |
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100 | 1 |aPetruk, W., |d1930- |
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245 | 10|aImage analysis |h[electronic resource] : |ban overview of developments / |cW. Petruk. |
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260 | |aOttawa : |bMineral Sciences Laboratories, |c1986. |
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300 | |av, 5 p. |
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490 | 1 |aCANMET report ; |v86-4E |
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500 | |a"April 1986." |
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500 | |aTitle from cover. |
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500 | |aIssued also in French under title: Analyse d'image : aperçu des réalisations. |
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504 | |aIncludes bibliographical references. |
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520 | |a"Performing image analysis involves digitizing and analyzing an image to characterize the features in it. A few researchers use image analysis to solve specific problems by writing their own computer programs, but widespread usage requires the availability of commercial image analyzers. Manufacturers have built a wide variety of image analyzers whose price and capabilities vary by a large factor. All image analyzers consist of image input, image digitizing, image processing, and data output. The image input can be (i) a digitizer tablet on which an image is drawn with a special stylus; (ii) a TV camera for collecting an image from an optical microscope or an epidiascope; (iii) a SEM interface for collecting a SEM image; and (iv) an image from computer memory. Image processing varies from simple processing such as determining the area % of a specific phase, to measuring a wide variety of parameters for each feature, as well as determining the reflectance and transmittance of features observed with an optical microscope. Furthermore, the electron beam of a SEM can be steered to scan each feature and to identify the feature on the basis of its composition. Image analyzers, therefore, vary from the simplest one which uses a digitizer tablet and can perform only a few measurements such as area % and size analysis of the features, to a fully equipped one that can automatically identify all the phases in the image and characterize each feature by using a wide variety of parameters"--Abstract, p. i. |
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546 | |aIncludes abstract in French. |
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692 | 07|2gccst|aAnalysis |
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692 | 07|2gccst|aResearch and development |
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692 | 07|2gccst|aDigitization |
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710 | 1 |aCanada. |bNatural Resources Canada. |
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710 | 2 |aCanada Centre for Mineral and Energy Technology. |
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710 | 2 |aMineral Sciences Laboratories (Canada) |
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775 | 08|tAnalyse d'image |w(CaOODSP)9.866567 |
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830 | #0|aCANMET report ;|v86-4E.|w(CaOODSP)9.852792 |
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856 | 40|qPDF|s109 KB|uhttps://publications.gc.ca/collections/collection_2019/rncan-nrcan/m38-13/M38-13-86-4-eng.pdf |
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