Introduction to Image Processing and Analysis

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A01=J. Christian Russ
A01=John C. Russ
advanced image processing algorithms
Author_J. Christian Russ
Author_John C. Russ
Bicubic Interpolation
binary
Binary Image
brightness
Brightness Values
Category=UYT
central
Central Pixel
Chain Code
code
Code Fragment
computer vision algorithms
digital image analysis
EDM
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
FFT Power Spectrum
Fourier Domain
fragment
Haar Wavelet Transform
hat
Hough Space
image segmentation techniques
JPEG Compression
JPEG Version
Kuwahara Filter
Median Filter
Nonmaximum Suppression
Oriented Bounding Box
original
Original Image
pixel
pixel array processing
quantitative image measurement
RGB Color
RGB Space
RGB Value
scientific image enhancement
top
Top Hat Filter
Unsharp Mask
values
Wavelet Transform
Wiener Deconvolution

Product details

  • ISBN 9780849370731
  • Weight: 907g
  • Dimensions: 178 x 254mm
  • Publication Date: 31 Oct 2007
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms.

Homework problems are included in every chapter with solutions
available
for download from the CRC Press website

The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications.

Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.

Russ, John C.; Russ, J. Christian

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