Digital Image Processing using SCILAB

Autoren: Thanki, Rohit, Kothari, Ashish M.

  • Presents basic theories and mathematical of theories for digital image fundamentals and image processing algorithms
  • Covers information of various image processing transforms and their different applications
  • Includes various SCILAB open source programs at the end of each theory, showing readers the concepts in applications
Weitere Vorteile

Dieses Buch kaufen

eBook 118,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-89533-8
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 149,79 €
Preis für Deutschland (Brutto)
  • Erscheinungstermin: 18. Mai 2018
  • ISBN 978-3-319-89532-1
  • Kostenfreier Versand für Individualkunden weltweit
Über dieses Buch

This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing.

Über den Autor

Dr. Rohit Thanki obtained his Ph.D. in Multibiometric System Security using CS Theory and Watermarking from C. U. Shah University, Wadhwan city, Gujarat, India in 2017. His area of research interest is Digital Watermarking, Biometrics System, Security, Compressive Sensing, Pattern Recognition and Image Processing. He has published 3 books, 4 book chapters and 28 research papers to his credit in refereed & indexed journals, and conference at international and national level. His international recognition includes his professional memberships & services in refereed organizations, programme committees and reviewer for journals published by IEEE, Elsevier, Taylor & Francis, Springer, IGI-Global etc.

Dr. Ashish Kothari obtained his Ph.D. in Digital Video Watermarking from JJT University, Rajasthan, India in 2013. He is working as an Associate professor and Head of Electronics and Communication Engineering, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. He is also recognized Ph.D. supervisor at Gujarat Technological University, Ahmedabad, Gujarat, India. His area of research interest is Image Processing, Video Processing, Digital Watermarking and Signal Processing. He has published 1 book, 1 book chapters and more than 25 research papers to his credit in refereed & indexed journals, and conferences at international and national level. His international recognition includes his professional memberships & services in refereed organizations, programme committees and reviewer for journals.

Inhaltsverzeichnis (8 Kapitel)

  • Introduction

    Thanki, Rohit M. (et al.)

    Seiten 1-18

  • Image Enhancement in the Spatial Domain

    Thanki, Rohit M. (et al.)

    Seiten 19-50

  • Image Enhancement in the Frequency Domain

    Thanki, Rohit M. (et al.)

    Seiten 51-69

  • Image Restoration

    Thanki, Rohit M. (et al.)

    Seiten 71-98

  • Morphological Image Processing

    Thanki, Rohit M. (et al.)

    Seiten 99-113

Dieses Buch kaufen

eBook 118,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-89533-8
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 149,79 €
Preis für Deutschland (Brutto)
  • Erscheinungstermin: 18. Mai 2018
  • ISBN 978-3-319-89532-1
  • Kostenfreier Versand für Individualkunden weltweit
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Bibliografische Information

Bibliographic Information
Buchtitel
Digital Image Processing using SCILAB
Autoren
Copyright
2019
Verlag
Springer International Publishing
Copyright Inhaber
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-89533-8
DOI
10.1007/978-3-319-89533-8
Hardcover ISBN
978-3-319-89532-1
Auflage
1
Seitenzahl
XVIII, 154
Anzahl der Bilder und Tabellen
82 schwarz-weiß Abbildungen, 36 Abbildungen in Farbe
Themen