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008 200626s2020 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_cOCoLC-P
_erda
020 _a9780429243370 (electronic bk)
020 _a0429243375 (electronic bk)
020 _a9780429519956
_q(electronic bk. : Mobipocket)
020 _a0429519958
_q(electronic bk. : Mobipocket)
020 _a9780429516528
_q(electronic bk. : EPUB)
020 _a0429516525
_q(electronic bk. : EPUB)
020 _a9780429513091
_q(electronic bk. : PDF)
020 _a0429513097
_q(electronic bk. : PDF)
020 _z9780367198084
020 _z0367198088
035 _a(OCoLC)1162607430
_z(OCoLC)1162273862
035 _a(OCoLC-P)1162607430
050 4 _aTA1637
_b.C486 2020
072 7 _aMAT
_x000000
_2bisacsh
072 7 _aMAT
_x013000
_2bisacsh
072 7 _aTEC
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_2bisacsh
072 7 _aPB
_2bicssc
082 0 4 _a006.6/63
_223
100 1 _aChityala, Ravishankar,
_eauthor.
_919078
245 1 0 _aImage processing and acquisition using Python /
_cRavishankar Chityala and Sridevi Pudipeddi.
250 _aSecond edition.
264 1 _aBoca Raton :
_bChapman & Hall/CRC Press,
_c2020.
300 _a1 online resource (pages cm.).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aChapman & Hall/CRC the Python series
520 _a"Image Processing and Acquisition using Python, Second Edition provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test reader skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book's CRC Press web page. New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules"--
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aImage processing.
_97417
650 0 _aPython (Computer program language)
_96666
650 7 _aMATHEMATICS / General
_2bisacsh
_919079
650 7 _aMATHEMATICS / Graphic Methods
_2bisacsh
_913628
650 7 _aTECHNOLOGY / Imaging Systems
_2bisacsh
_910809
700 1 _aPudipeddi, Sridevi,
_eauthor.
_919080
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429243370
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c72011
_d72011