Computational Introduction to Digital Image Processing

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A01=Alasdair McAndrew
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and Python
Author_Alasdair McAndrew
automatic-update
Average Filtering
Binary Image
Cameraman Image
Category1=Non-Fiction
Category=PBW
Category=UYT
Chain Code
Color Map
colour image enhancement
COP=United States
corner detection
Current Pixel
DC Coefficient
Delivery_Delivery within 10-20 working days
discrete mathematics
edge-preserving blurring filters
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eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Foreground Pixel
Fourier analysis methods
Gaussian Filter
GNU Octave
Gray Level
Gray Values
Grayscale Image
Haar Wavelet
High Pass Filter
Histogram Equalization
image analysis techniques
image processing algorithms
image processing courses
Image Processing Using Open-Source and Commercial Software
imaging techniques
ISODATA thresholding
Kuwahara Filtering
Language_English
Low Pass Filter
LZW Compression
mathematical morphology
MATLAB
nature and use of digital images
PA=Available
Pepper Noise
practical image processing for researchers
Price_€50 to €100
PS=Active
Radon transform
retinex algorithm
RGB
RGB Component
RGB Image
RGB Value
scientific image processing
segmentation algorithms
softlaunch
Spatial Filter
Type Uint8

Product details

  • ISBN 9781482247329
  • Weight: 1160g
  • Dimensions: 178 x 254mm
  • Publication Date: 05 Nov 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software

A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline.

New to the Second Edition

This second edition provides users with three different computing options. Along with MATLAB®, this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics.

Principles, Practices, and Programming

Based on the author’s successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material.

Alasdair McAndrew is a senior lecturer and discipline leader in mathematics and physics at Victoria University in Melbourne, Australia. His teaching and research interests include image processing, cryptography, mathematics, and mathematics education. An avid technophile, he is the author of the CRC Press book Introduction to Cryptography with Open-Source Software. He holds a PhD from Monash University.

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