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The image processing handbook / John C. Russ.

By: Boca Raton : CRC Press, 2011Edition: 6th edDescription: xviii, 867 pages : illustrations (some color) ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781439840450 (hardback)
  • 1439840458 (hardback)
Subject(s): Genre/Form: LOC classification:
  • TA1637 .R87 2011
Contents:
Machine generated contents note: 1. Acquiring Images -- Human reliance on images for information -- Video cameras -- CCD cameras -- Camera artifacts and limitations -- Color cameras -- Camera resolution -- Focusing -- Electronics and bandwidth limitations -- Pixels -- Gray scale resolution -- Noise -- High depth images -- Color imaging -- Digital camera limitations -- Color spaces -- Color correction -- Color displays -- Image types -- Range imaging -- Multiple images -- Stereoscopy -- Imaging requirements -- 2. Human Vision -- What we see and why -- Recognition -- Technical specs -- Acuity -- What the eye tells the brain -- Spatial comparisons -- Local to global hierarchies -- It's about time -- The third dimension -- How versus what -- Seeing what isn't there, and vice versa -- Image compression -- A world of light -- Size matters -- Shape (whatever that means) -- Context -- Arrangements must be made -- Seeing is believing -- So in conclusion.
3. Printing and Storage -- Printing -- Dots on paper -- Color printing -- Printing hardware -- Film recorders -- Other presentation tools -- 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 -- 4. 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 images -- Non-planar views -- Computer graphics -- Geometric distortion -- Alignment -- Interpolation -- Morphing -- 5. Image Enhancement in the Spatial Domain -- Contrast manipulation -- Histogram equalization -- Local equalization -- Laplacian -- Derivatives -- Finding edges with gradients -- More edge detectors -- Texture.
Fractal analysis -- Implementation notes -- Image math -- Subtracting images -- Multiplication and division -- Principal components analysis -- Other image combinations -- 6. Processing Images in Frequency Space -- About frequency space -- The Fourier transform -- Fourier transforms of simple functions -- Frequencies and orientations -- Preferred orientation -- Texture and fractals -- Isolating periodic noise -- Selective masks and filters -- Selection of periodic information -- Convolution -- Deconvolution -- Noise and Wiener deconvolution -- Template matching and correlation -- Autocorrelation -- 7. Segmentation and Thresholding -- Thresholding -- Automatic settings -- Multiband images -- Two-dimensional thresholds -- Multiband thresholding -- Thresholding from texture -- Multiple thresholding criteria -- Textural orientation -- Region boundaries -- Conditional histograms -- Boundary lines -- Contours -- Image representation -- Other segmentation methods -- The general classification problem.
8. Processing Binary Images -- Boolean operations -- Combining Boolean operations -- Masks -- From pixels to features -- Boolean logic with features -- Selecting features by location -- Double thresholding -- Erosion and dilation -- Opening and closing -- Isotropy -- Measurements using erosion and dilation -- Extension to gray scale images -- Morphology neighborhood parameters -- Examples of use -- Euclidean distance map -- Watershed segmentation -- Ultimate eroded points -- Skeletons -- Boundary lines and thickening -- Combining skeleton and EDM -- 9. Global Image Measurements -- Global measurements and stereology -- Surface area -- ASTM Grain Size -- Multiple types of surfaces -- Length -- Thickness -- Sampling strategies -- Determining number -- Curvature, connectivity, and the Disector -- Anisotropy and gradients -- Size distributions -- Classical stereology (unfolding) -- 10. Feature-Specific Measurements -- Brightness measurements -- Determining location -- Orientation -- Neighbor relationships.
Alignment -- Counting -- Special counting procedures -- Feature size -- Circles and ellipses -- Caliper dimensions -- Perimeter -- 11. Characterizing Shape -- Describing shape -- Dimensionless ratios -- Fractal dimension -- Harmonic analysis -- Topology -- Three dimensions -- 12. Feature Recognition and Classification -- Template matching and cross-correlation -- Parametric description -- Decision points -- Multidimensional classification -- Learning systems -- kNN and cluster analysis -- Expert systems -- Neural nets -- Syntactical models -- 13. Tomographic Imaging -- More than two dimensions -- Volume imaging vs. sections -- Basics of reconstruction -- Algebraic reconstruction methods -- Maximum entropy -- Defects in reconstructed images -- Beam hardening -- Imaging geometries -- Three-dimensional tomography -- High-resolution tomography -- 14. 3D Visualization -- Sources of 3D data -- Serial sections -- Optical sectioning -- Sequential removal.
Stereo measurement -- 3D data sets -- Slicing the data set -- Arbitrary section planes -- The use of color -- Volumetric display -- Stereo viewing -- Special display hardware -- Ray tracing -- Reflection -- Surfaces -- Multiply connected surfaces -- Image processing in 3D -- Measurements on 3D images -- 15. Imaging Surfaces -- Producing surfaces -- Imaging surfaces by physical contact -- Noncontacting measurements -- Microscopy of surfaces -- Surface composition imaging -- Processing of range images -- Processing of composition maps -- Data presentation and visualization -- Rendering and visualization -- Analysis of surface data -- Profile measurements -- The Birmingham measurement suite -- Topographic analysis and fractal dimensions.
Summary: "This guide clearly explains the acquisition and use of digital images in a wide variety of scientific fields. This sixth edition features new sections on selecting a camera with resolution appropriate for use on light microscopes, on the ability of current cameras to capture raw images with high dynamic range, and on imaging in more than two dimensions. It discusses Dmax for X-ray images and combining images with different exposure settings to further extend the dynamic range. This edition also includes a new chapter on shape measurements, a review of new developments in image file searching, and a wide range of new examples and diagrams"-- Provided by publisher.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Foothills Lab TA1637 .R87 2011 1 Checked out 07/01/2024 50583020002444
Total holds: 0

"This guide clearly explains the acquisition and use of digital images in a wide variety of scientific fields. This sixth edition features new sections on selecting a camera with resolution appropriate for use on light microscopes, on the ability of current cameras to capture raw images with high dynamic range, and on imaging in more than two dimensions. It discusses Dmax for X-ray images and combining images with different exposure settings to further extend the dynamic range. This edition also includes a new chapter on shape measurements, a review of new developments in image file searching, and a wide range of new examples and diagrams"-- Provided by publisher.

Includes bibliographical references (pages 817-838) and index.

Machine generated contents note: 1. Acquiring Images -- Human reliance on images for information -- Video cameras -- CCD cameras -- Camera artifacts and limitations -- Color cameras -- Camera resolution -- Focusing -- Electronics and bandwidth limitations -- Pixels -- Gray scale resolution -- Noise -- High depth images -- Color imaging -- Digital camera limitations -- Color spaces -- Color correction -- Color displays -- Image types -- Range imaging -- Multiple images -- Stereoscopy -- Imaging requirements -- 2. Human Vision -- What we see and why -- Recognition -- Technical specs -- Acuity -- What the eye tells the brain -- Spatial comparisons -- Local to global hierarchies -- It's about time -- The third dimension -- How versus what -- Seeing what isn't there, and vice versa -- Image compression -- A world of light -- Size matters -- Shape (whatever that means) -- Context -- Arrangements must be made -- Seeing is believing -- So in conclusion.

3. Printing and Storage -- Printing -- Dots on paper -- Color printing -- Printing hardware -- Film recorders -- Other presentation tools -- 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 -- 4. 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 images -- Non-planar views -- Computer graphics -- Geometric distortion -- Alignment -- Interpolation -- Morphing -- 5. Image Enhancement in the Spatial Domain -- Contrast manipulation -- Histogram equalization -- Local equalization -- Laplacian -- Derivatives -- Finding edges with gradients -- More edge detectors -- Texture.

Fractal analysis -- Implementation notes -- Image math -- Subtracting images -- Multiplication and division -- Principal components analysis -- Other image combinations -- 6. Processing Images in Frequency Space -- About frequency space -- The Fourier transform -- Fourier transforms of simple functions -- Frequencies and orientations -- Preferred orientation -- Texture and fractals -- Isolating periodic noise -- Selective masks and filters -- Selection of periodic information -- Convolution -- Deconvolution -- Noise and Wiener deconvolution -- Template matching and correlation -- Autocorrelation -- 7. Segmentation and Thresholding -- Thresholding -- Automatic settings -- Multiband images -- Two-dimensional thresholds -- Multiband thresholding -- Thresholding from texture -- Multiple thresholding criteria -- Textural orientation -- Region boundaries -- Conditional histograms -- Boundary lines -- Contours -- Image representation -- Other segmentation methods -- The general classification problem.

8. Processing Binary Images -- Boolean operations -- Combining Boolean operations -- Masks -- From pixels to features -- Boolean logic with features -- Selecting features by location -- Double thresholding -- Erosion and dilation -- Opening and closing -- Isotropy -- Measurements using erosion and dilation -- Extension to gray scale images -- Morphology neighborhood parameters -- Examples of use -- Euclidean distance map -- Watershed segmentation -- Ultimate eroded points -- Skeletons -- Boundary lines and thickening -- Combining skeleton and EDM -- 9. Global Image Measurements -- Global measurements and stereology -- Surface area -- ASTM Grain Size -- Multiple types of surfaces -- Length -- Thickness -- Sampling strategies -- Determining number -- Curvature, connectivity, and the Disector -- Anisotropy and gradients -- Size distributions -- Classical stereology (unfolding) -- 10. Feature-Specific Measurements -- Brightness measurements -- Determining location -- Orientation -- Neighbor relationships.

Alignment -- Counting -- Special counting procedures -- Feature size -- Circles and ellipses -- Caliper dimensions -- Perimeter -- 11. Characterizing Shape -- Describing shape -- Dimensionless ratios -- Fractal dimension -- Harmonic analysis -- Topology -- Three dimensions -- 12. Feature Recognition and Classification -- Template matching and cross-correlation -- Parametric description -- Decision points -- Multidimensional classification -- Learning systems -- kNN and cluster analysis -- Expert systems -- Neural nets -- Syntactical models -- 13. Tomographic Imaging -- More than two dimensions -- Volume imaging vs. sections -- Basics of reconstruction -- Algebraic reconstruction methods -- Maximum entropy -- Defects in reconstructed images -- Beam hardening -- Imaging geometries -- Three-dimensional tomography -- High-resolution tomography -- 14. 3D Visualization -- Sources of 3D data -- Serial sections -- Optical sectioning -- Sequential removal.

Stereo measurement -- 3D data sets -- Slicing the data set -- Arbitrary section planes -- The use of color -- Volumetric display -- Stereo viewing -- Special display hardware -- Ray tracing -- Reflection -- Surfaces -- Multiply connected surfaces -- Image processing in 3D -- Measurements on 3D images -- 15. Imaging Surfaces -- Producing surfaces -- Imaging surfaces by physical contact -- Noncontacting measurements -- Microscopy of surfaces -- Surface composition imaging -- Processing of range images -- Processing of composition maps -- Data presentation and visualization -- Rendering and visualization -- Analysis of surface data -- Profile measurements -- The Birmingham measurement suite -- Topographic analysis and fractal dimensions.

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