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008 200922s2020 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9780429400612
_q(ebook)
020 _a0429400616
020 _a9780429683213
_q(ePub ebook)
020 _a0429683219
020 _a9780429683220
_q(PDF ebook)
020 _a0429683227
020 _a9780429683206
_q(Mobipocket ebook)
020 _a0429683200
020 _z9780367002022
_q(hardback)
035 _a(OCoLC)1198087544
035 _a(OCoLC-P)1198087544
050 0 0 _aQA76.95
072 7 _aMAT
_x000000
_2bisacsh
072 7 _aMAT
_x013000
_2bisacsh
072 7 _aMAT
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072 7 _aUYT
_2bicssc
082 0 0 _a006.4/2
_223
100 1 _aGalperin, Yevgeniy V.,
_eauthor.
245 1 3 _aAn image processing tour of college mathematics /
_cYevgeniy V. Galperin, East Stroudsburg University of Pennsylvania, USA.
250 _aFirst edition.
264 1 _aBoca Raton :
_bChapman & Hall, CRC Press,
_c2020.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bn
_2rdamedia
338 _aonline resource
_bnc
_2rdacarrier
490 0 _aChapman & Hall/CRC mathematical and computational imaging sciences series
520 _a"An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase the students' awareness of recent developments in mathematical sciences, and to help students prepare for graduate studies. The topics covered include a library of elementary functions, basic concepts of descriptive statistics, probability distributions of functions of random variables, definitions and concepts behind first- and second-order derivatives, most concepts and techniques of traditional linear algebra courses, an introduction to Fourier analysis, and a variety of discrete wavelet transforms - all of that in the context of digital image processing. Features Pre-calculus material and basic concepts of descriptive statistics are reviewed in the context of image processing in the spatial domain. Key concepts of linear algebra are reviewed both in the context of fundamental operations with digital images and in the more advanced context of discrete wavelet transforms. Some of the key concepts of probability theory are reviewed in the context of image equalization and histogram matching. The convolution operation is introduced painlessly and naturally in the context of naïve filtering for denoising and is subsequently used for edge detection and image restoration. An accessible elementary introduction to Fourier analysis is provided in the context of image restoration. Discrete wavelet transforms are introduced in the context of image compression, and the readers become more aware of some of the recent developments in applied mathematics. The text helps students of mathematics ease their way into mastering the basics of scientific computer programming"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMathematics
_xData processing.
650 0 _aImage processing.
650 7 _aMATHEMATICS / General
_2bisacsh
650 7 _aMATHEMATICS / Graphic Methods
_2bisacsh
650 7 _aMATHEMATICS / Functional Analysis
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429400612
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c130482
_d130482