Image Operators: Image Processing in Python | Agenda Bookshop Skip to content
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
A01=Jason M. Kinser
Age Group_Uncategorized
Age Group_Uncategorized
Author_Jason M. Kinser
automatic-update
Category1=Non-Fiction
Category=PBW
Category=PHU
Category=THR
Category=TJK
Category=TQ
Category=UYT
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch

Image Operators: Image Processing in Python

English

By (author): Jason M. Kinser

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
See more
Current price €117.79
Original price €123.99
Save 5%
A01=Jason M. KinserAge Group_UncategorizedAuthor_Jason M. Kinserautomatic-updateCategory1=Non-FictionCategory=PBWCategory=PHUCategory=THRCategory=TJKCategory=TQCategory=UYTCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 878g
  • Dimensions: 178 x 254mm
  • Publication Date: 24 Oct 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781498796187

About Jason M. Kinser

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.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept