Image Processing Handbook by Russ

Image Processing Handbook by John C. Russ link

Section “Boundary Lines”: "One of the shortcomings of thresholding is that the pixels are selected primarily by brightness, and only secondarily by location. This means that there is no requirement for regions to be continuous... Automatic edge following suffers from several problems... [A] line of pixels may be broken or incomplete... or may branch... [T]he inability of the fully automatic ridge-following method to track the boundaries has been supplemented by a manually assisted technique."

The book is 95% image processing, 5% image analysis.

Contents

Introduction

Acquiring images

• Human reliance on images for information
• video cameras
• ccd cameras
• camera artifacts and limitations
• color cameras
• camera resolution
• cmos cameras
• focusing
• electronics and bandwidth limitations
• pixels
• grey scale resolution
• noise
• high depth image
• color imaging
• digital camera limitations
• color spaces
• color correction
• color displays
• image types
• range imaging
• multiple images
• stereoscopy
• imaging requirements

Printing and storage

• printing
• dots on paper
• color printing
• printing hardware
• film recorders
• file storage
• storage media
• magnetic recording
• databases for images
• browsing and thumbnails
• lossless coding
• reduced color palettes
• jpeg compression
• wavelet compression
• fractal compression
• digital movies

Correcting imaging defects

• contrast expansion
• noisy images
• neighborhood averaging
• neighborhood ranking
• other neighborhood noise reduction methods
• defect removal, maximum entropy and maximum likelihood
• nonuniform illumination
• fitting a background function
• rank leveling
• color shading
• non-planar views
• computer graphics
• geometrical distortion
• alignment
• interpolation
• morphing

Image enhancement (processing in the spatial domain)

• contrast manipulation
• histogram equalization
• laplacian
• derivatives
• the Sobel and Kirsch operators
• rank operations
• texture
• fractal analysis
• implementation notes
• image math
• subtracting images
• multiplication and division

Processing images in frequency space

• some necessary mathematical preliminaries
• what frequency space is all about
• the Fourier transform
• Fourier transforms of real functions
• frequencies and orientations
• measuring images in the frequency domain
• orientation and spacing
• preferred orientation
• texture and fractals
• filtering images
• isolating periodic noise
• masks and filters