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010   $a1-283-02024-6
010   $a9786613020246
010   $a0-08-088628-0
035   $a(CKB)2530000000000295
035   $a(EBL)664661
035   $a(OCoLC)643060586
035   $a(SSID)ssj0000420140
035   $a(PQKBManifestationID)12121605
035   $a(PQKBTitleCode)TC0000420140
035   $a(PQKBWorkID)10386450
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035   $a(MiAaPQ)EBC664661
035   $a(EXLCZ)992530000000000295
100   $a20110407d2010      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aHyperspectral imaging for food quality analysis and control /$fedited by Da-Wen Sun
205   $a1st ed.
210   $aAmsterdam $cElsevier$d2010
215   $a1 online resource (493 p.)
300   $aDescription based upon print version of record.
311   $a0-12-374753-8 
320   $aIncludes bibliographical references and index.
327   $apt. 1. Fundamentals -- pt. 2. Applications.
330   $aBased on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control.Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessme
606   $aFood adulteration and inspection
606   $aFood$xQuality
606   $aImaging systems
615  0$aFood adulteration and inspection.
615  0$aFood$xQuality.
615  0$aImaging systems.
676   $a664.07
676   $a664.07
701   $aSun$b Da-Wen$0299794
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911004767503321
996   $aHyperspectral imaging for food quality analysis and control$94391016
997   $aUNINA