Image processing and acquisition using Python / (Record no. 74458)
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fixed length control field | 04135cam a2200565Mi 4500 |
001 - CONTROL NUMBER | |
control field | 9780429243370 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220531132606.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200626s2020 flu ob 001 0 eng |
040 ## - Cataloging Source | |
-- | OCoLC-P |
-- | eng |
-- | OCoLC-P |
-- | rda |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429243370 (electronic bk) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429243375 (electronic bk) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429519956 |
-- | (electronic bk. : Mobipocket) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429519958 |
-- | (electronic bk. : Mobipocket) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429516528 |
-- | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429516525 |
-- | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429513091 |
-- | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429513097 |
-- | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780367198084 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 0367198088 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1162607430 |
Canceled/invalid control number | (OCoLC)1162273862 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC-P)1162607430 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TA1637 |
Item number | .C486 2020 |
072 #7 - | |
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-- | bisacsh |
072 #7 - | |
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072 #7 - | |
-- | TEC |
-- | 015000 |
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072 #7 - | |
-- | PB |
-- | bicssc |
082 04 - | |
-- | 006.6/63 |
-- | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Chityala, Ravishankar, |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Image processing and acquisition using Python / |
Statement of responsibility, etc. | Ravishankar Chityala and Sridevi Pudipeddi. |
250 ## - EDITION STATEMENT | |
Edition statement | Second edition. |
264 #1 - | |
-- | Boca Raton : |
-- | Chapman & Hall/CRC Press, |
-- | 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (pages cm.). |
336 ## - | |
-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
490 1# - | |
-- | Chapman & Hall/CRC the Python series |
520 ## - | |
-- | "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 ## - | |
-- | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Image processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Python (Computer program language) |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | MATHEMATICS / General |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | MATHEMATICS / Graphic Methods |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | TECHNOLOGY / Imaging Systems |
Source of heading or term | bisacsh |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Pudipeddi, Sridevi, |
Relator term | author. |
856 40 - | |
-- | Taylor & Francis |
-- | https://www.taylorfrancis.com/books/9780429243370 |
856 42 - | |
-- | OCLC metadata license agreement |
-- | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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