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Cengage – Image Processing and Analysis 2018

Updated August 10, 2026 25.4 MB
Cengage – Image Processing and Analysis 2018

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Description

Image Processing and Analysis is a comprehensive and classic resource for understanding the mathematical foundations and modern algorithms in the fields of machine vision and image processing. The author takes a systematic approach, first examining the geometric and atomic structures of images, and then developing and analyzing image processors in detail. This work attempts to bridge the gap between pure mathematics and applied engineering methodologies, helping the reader understand the logic behind every image operation, from simple filters to complex statistical analyses.

The text is structured to strike a balance between theoretical discussion and computational implementation, with each concept supported by relevant mathematical equations and sample code. Rather than simply providing instructions, the author seeks to explore the origins of various processing methods in frequency and spatial spaces. This book is invaluable for students and professionals who want to gain a deep understanding of how to change pixel values, enhance contrast, and extract features from digital images.

Book Features

  • A comprehensive review of variational methods, partial differential equations (PDEs), and wavelets in image processing.

  • Practical C programming training for implementing algorithms in different environments.

  • Providing classroom exercises and practical projects at the end of each chapter to consolidate learning.

  • In-depth analysis of image processing in the Fourier domain and intermittent noise removal methods.

  • Use sample images and color graphics to demonstrate the impact of algorithms on visual data.

  • Covers topics such as geometric transformations, color correction, and statistical operations on pixel neighborhoods.

Book specifications

  • Publisher: Cengage
  • Instructor/Author: Stan Birchfield
  • Number of pages: 738
  • Number of chapters: 13
  • Format: PDF

Headlines

Image Processing and Analysis

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Image Processing and Analysis

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What is included

  • A comprehensive review of variational methods, partial differential equations (PDEs), and wavelets in image processing.
  • Practical C programming training for implementing algorithms in different environments.
  • Providing classroom exercises and practical projects at the end of each chapter to consolidate learning.
  • In-depth analysis of image processing in the Fourier domain and intermittent noise removal methods.
  • Use sample images and color graphics to demonstrate the impact of algorithms on visual data.
  • Covers topics such as geometric transformations, color correction, and statistical operations on pixel neighborhoods.

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