000			02025nam a22003615c 4500
001			86458
003			ES-MaUEC
005			20230202105203.0
008			150826s2016 gw | s |||| 0|eng d
020			_a9783662477946
040			_aES-MaUEC
050		4	_aTA1634 _b.B494 2016
082	0	4	_a621.382
100	1		_aBeyerer, Jürgen _9100176 _0Local
245	1	0	_aMachine Vision : _bAutomated Visual Inspection: Theory, Practice and Applications _cby Jürgen Beyerer, Fernando Puente León, Christian Frese
250			_a1st ed.
260			_aBerlin, Heidelberg _bSpringer Berlin Heidelberg _c2016
300			_a1 recurso en línea (XX, 798 p.) _b700 ilustraciones, 500 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
520			_aThe book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aVisión por ordenador _0comprobar BNE20020695437 _2embne _9159793
700	1		_aPuente León, Fernando _9100177 _0Local
700	1		_aFrese, Christian _9100178 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-47794-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783662477946
907			_a.b12957367 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b03-05-17 _cm _dz _ef _feng _ggw _h0
945			_aTA1634 .B494 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11599169 _z06-04-17
999			_c86458 _d86458 _x1