CiNii Books - The image processing handbook

"The Image Processing Handbook" presents an extensive collection of image processing tools that should prove invaluable in maximizing the quality and usefulness of visual information. This book covers methods used for enhancing the visual appearance of images and preparing images for measurement. It should help readers to understand and apply methods provided in packaged software or enable them to programme those additions that may be necessary for particular applications. The aqcuisition of grey-scale and colour images and methods for correcting imaging defects such as geometric distortion and nonuniform illumination are demonstrated. The book details the selective enhancement of images, such as edge finding, noise suppression and texture extraction by grey scale processing and frequency space processing operations. Segmentation of images and the processing of binary images using morphological and Boolean operations are shown, and three-dimensional imaging using tomographic reconstruction, serial sections and volumetric and surface rendering methods are illustrated.

Table of Contents

Part 1 Acquiring images: human reliance on images for information
using video cameras to acquire images
electronics and bandwidth limitations
high resolution imaging
colour imaging
multiple images
imaging requirements. Part 2 Correcting imaging defects: noisy images
neighbourhood averaging
neighbourhood ranking
other neighbourhood noise reduction methods
maximum entropy
contrast expansion
non-uniform illumination
fitting a background function
rank levelling
non-planar views
computer graphics
geometrical distortion
alignment. Part 3 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. Part 4 Processing images in frequency space: some necessary mathematical preliminaries
measuring images in the frequency domain
filtering images
convolution and correlation
conclusion
for further reading. Part 5 Segmentation and thresholding: thresholding
multi-band images
two-dimensional thresholds
multiband thresholding
thresholding from texture
multiple thresholding criteria
textural orientation
accuracy and reproducibility
including position information
selective histograms
boundary lines
contours
image representation
other segmentation methods
the general classification problem. Part 6 Processing binary images: Boolean operations
combining Boolean operations
masks
from Pixels to features
Boolean logic with features
erosion and dilation
opening and closing
isotropy
measurements using erosion and dilation
extension to grey scale images
the coefficient and depth parameters
examples of use
the cluster
skeletonization
boundary lines and thickening
Euclidean distance map
watershed segmentation
ultimate eroded points
fractal dimension measurement
medial axis transform
cluster analysis. Part 7 Tomography: basics of reconstruction
algebraic reconstruction methods
maximum entropy
defects in reconstructed images
imaging geometrics
three-dimensional tomography
high resolution tomography. Part 8 3D imaging: sources of 3D data
serial sections
optical sectioning
sequential removal
stereo
3D data sets
slicing the data set
arbitrary section planes
the use of colour
volumetric display
stereo viewing
special display hardware
emission
reflection
surfaces
multiply connected surfaces
image processing in 3D
measurements on 3D images
conclusions.

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The image processing handbook

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