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008 180409s2019 flua sb 001 0 eng d;

010 a| 2018017140;

020 a| 9781498796187q| (hardback ;q| acid-free paper);

035 a| (WaSeSS)ssj0002064047;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| TA1637b| .K48 2019;

082 00 a| 006.62| 23;

100 1 a| Kinser, Jason M.,d| 1962-=| ^A870294;

245 10 a| Image operatorsh| [electronic resource] :b| image processing in Python /c| Jason M. Kinser.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press/Taylor & Francis Group,c| [2019];

300 a| xxv, 339 pages :b| illustrations (some color) ;c| 27 cm;

500 a| "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.";

504 a| Includes bibliographical references and index.;

505 0 a| Part I - Image Operators -- Operator Nomenclature -- Scripting in Python -- Digital Images -- Color -- Part II Image Space Manipulations -- Geometric Transformations -- Image Morphing -- Principle Component Analysis -- Eigenimages -- Part III Frequency Space Manipulations -- Image Frequencies -- Filtering in Frequency Space -- Correlations -- Part IV Texture and Shape -- Edge Detection -- Hough Transforms -- Noise -- Texture Recognition -- Gabor Filtering -- Describing Shape -- Part V Basis -- Basis Sets -- Pulse Images and Autowaves.;

506 a| Available only to authorized users.;

520 a| This book will provide a unified theoretical foundation of image analysis procedures with accompanied Python computer scripts to precisely describe the steps in image processing applications. Linkage between required scripts and theory through operators will be presented. Readers will be able to quickly write computer code to correctly implement the algorithms. Chapters will contain theories, operator equivalents, examples, Python codes, and exercises. Python downloads will be available--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Image processingx| Digital techniques.=| ^A142170;

650 0 a| Python (Computer program language)=| ^A809520;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9780429451188;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6671335;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6671335-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6671335-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6671335-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Image operators image processing in Python / Jason M. Kinser.

Author/creator	Kinser, Jason M., 1962-
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press/Taylor & Francis Group, [2019]
Description	xxv, 339 pages : illustrations (some color) ; 27 cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Image processing--Digital techniques. Python (Computer program language)

Contents	Part I - Image Operators -- Operator Nomenclature -- Scripting in Python -- Digital Images -- Color -- Part II Image Space Manipulations -- Geometric Transformations -- Image Morphing -- Principle Component Analysis -- Eigenimages -- Part III Frequency Space Manipulations -- Image Frequencies -- Filtering in Frequency Space -- Correlations -- Part IV Texture and Shape -- Edge Detection -- Hough Transforms -- Noise -- Texture Recognition -- Gabor Filtering -- Describing Shape -- Part V Basis -- Basis Sets -- Pulse Images and Autowaves.
Abstract	This book will provide a unified theoretical foundation of image analysis procedures with accompanied Python computer scripts to precisely describe the steps in image processing applications. Linkage between required scripts and theory through operators will be presented. Readers will be able to quickly write computer code to correctly implement the algorithms. Chapters will contain theories, operator equivalents, examples, Python codes, and exercises. Python downloads will be available-- Provided by publisher.
General note	"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2018017140
ISBN	9781498796187 (hardback ; acid-free paper)

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Image operators image processing in Python / Jason M. Kinser.

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