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Image Operators

Image Processing in Python

(Autor)

Buch | Hardcover
366 Seiten
2018
Crc Press Inc (Verlag)
978-1-4987-9618-7 (ISBN)
137,15 inkl. MwSt
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.
For decades, researchers have been developing algorithms to manipulate and analyze images. From this, a common set of image tools now appear in many high-level programming languages. Consequently, the amount of coding required by a user has significantly lessened over the years. While the libraries for image analysis are coalescing to a common toolkit, the language of image analysis has remained stagnant. Often, textual descriptions of an analytical protocol consume far more real estate than does the computer code required to execute the processes. Furthermore, the textual explanations are sometimes vague or incomplete. This book offers a precise mathematical language for the field of image processing. Defined operators correspond directly to standard library routines, greatly facilitating the translation between mathematical descriptions and computer script. This text is presented with Python 3 examples.



This text will provide a unified language for image processing



Provides the theoretical foundations with accompanied Python® scripts to precisely describe steps in image processing applications



Linkage between scripts and theory through operators will be presented



All chapters will contain theories, operator equivalents, examples, Python® codes, and exercises

Jason M Kinser, DSc, has been an associate professor at George Mason University for more than 18 years teaching courses in physics, computational science, bioinformatics and forensic science. Recently, he converted the traditional university physics course into an active learning technology environment at GMU. His research interests include modern teaching techniques, more effective methods in text-based education, image operators and analysis, pulse image processing and multi-domain data analysis. This book was born from a desire to engage students in physics education and to find ways of reducing the external costs that both students and institutions incur within the traditional education framework.Jason M Kinser, DSc, has been an associate professor at George Mason University for more than 18 years teaching courses in physics, computational science, bioinformatics and forensic science. Recently, he converted the traditional university physics course into an active learning technology environment at GMU. His research interests include modern teaching techniques, more effective methods in text-based education, image operators and analysis, pulse image processing and multi-domain data analysis. This book was born from a desire to engage students in physics education and to find ways of reducing the external costs that both students and institutions incur within the traditional education framework.

PART I Image Operators. 1 Introduction. 2 Operator Nomenclature. 3 Scripting in Python. 4 Digital Images. 5 Color. PART II Image Space Manipulations. 6 Geometric Transformations. 7 Image Morphing. 8 Principle Component Analysis. 9 Eigenimages. PART III Frequency Space Manupulations. 10 Image Frequemncies. 11 Filtering in Frequency Space. 12 Correlations. PART IV Texture and Shape. 13 Edge Detection. 14 Hough Transforms. 15 Noise. 16 Texture Recognition. 17 Gabor Filtering. 18 Describing Shape. PART V Basis. 19 Basis Sets. 20 Pulse Images and Autowaves. Appendix A Operators. Appendix B Operators in Symbolic Order. Appendix C Lengthy Codes. Bibliography.

Erscheinungsdatum
Zusatzinfo 36 Illustrations, color; 275 Illustrations, black and white
Verlagsort Bosa Roca
Sprache englisch
Maße 178 x 254 mm
Gewicht 878 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften Physik / Astronomie
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-4987-9618-4 / 1498796184
ISBN-13 978-1-4987-9618-7 / 9781498796187
Zustand Neuware
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