Kinser, Jason M., 1962-
Image operators : image processing in Python / Jason M. Kinser. - First edition. - 1 online resource
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
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.
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--
9780429451188 0429451180 9780429835940 0429835949 9780429835933 0429835930 9780429835926 0429835922
10.1201/9780429451188 doi
Image processing--Digital techniques.
Python (Computer program language)
COMPUTERS / General.
TECHNOLOGY / Imaging Systems
TECHNOLOGY / Electricity
MATHEMATICS / Arithmetic
TA1637
006.6
Image operators : image processing in Python / Jason M. Kinser. - First edition. - 1 online resource
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
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.
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--
9780429451188 0429451180 9780429835940 0429835949 9780429835933 0429835930 9780429835926 0429835922
10.1201/9780429451188 doi
Image processing--Digital techniques.
Python (Computer program language)
COMPUTERS / General.
TECHNOLOGY / Imaging Systems
TECHNOLOGY / Electricity
MATHEMATICS / Arithmetic
TA1637
006.6