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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.
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