The image processing handbook. (2015)
- Record Type:
- Book
- Title:
- The image processing handbook. (2015)
- Main Title:
- The image processing handbook.
- Authors:
- Russ, John C
Neal, F. Brent - Contents:
- Introduction; About this text; A word of caution; A personal note Acquiring Images; Human reliance on images; Extracting information; Video cameras; CCD cameras; CMOS detectors; Camera artifacts and limitations; Color cameras; Camera resolution; Electronics and bandwidth limitations; Handling color data; Color encoding; Other image sources; Pixels; Tonal resolution; The image contents; Camera limitations; Noise; High-depth images; Focusing; Color displays; Image types; Multiple images; Imaging requirements Printing and Storage; Hard copies; Halftoning; Dots on paper; Color printing; Adding black—CMYK; Printing hardware; Film recorders; Presentation tools; File storage; Storage media; Magnetic recording; Databases for images; Searching by content; Browsing and thumbnails; File formats; Lossless coding; Reduced color palettes; JPEG compression; Wavelet compression; Fractal compression; Digital movies Human Vision; What we see and why; Recognition; Technical specs; Seeing color; Acuity; What the eye tells the brain; Spatial comparisons; Local to global hierarchies; Grouping; 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; Learning more Correcting Imaging Defects; Color adjustments; Hue, saturation, intensity; Other spaces; Color correction; Noisy images; Neighborhood averaging; GaussianIntroduction; About this text; A word of caution; A personal note Acquiring Images; Human reliance on images; Extracting information; Video cameras; CCD cameras; CMOS detectors; Camera artifacts and limitations; Color cameras; Camera resolution; Electronics and bandwidth limitations; Handling color data; Color encoding; Other image sources; Pixels; Tonal resolution; The image contents; Camera limitations; Noise; High-depth images; Focusing; Color displays; Image types; Multiple images; Imaging requirements Printing and Storage; Hard copies; Halftoning; Dots on paper; Color printing; Adding black—CMYK; Printing hardware; Film recorders; Presentation tools; File storage; Storage media; Magnetic recording; Databases for images; Searching by content; Browsing and thumbnails; File formats; Lossless coding; Reduced color palettes; JPEG compression; Wavelet compression; Fractal compression; Digital movies Human Vision; What we see and why; Recognition; Technical specs; Seeing color; Acuity; What the eye tells the brain; Spatial comparisons; Local to global hierarchies; Grouping; 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; Learning more Correcting Imaging Defects; Color adjustments; Hue, saturation, intensity; Other spaces; Color correction; Noisy images; Neighborhood averaging; Gaussian smoothing; Neighborhood ranking; The color median; More median filters; Weighted, conditional, and adaptive neighborhoods; Other neighborhood noise reduction methods; Defect removal, maximum entropy, and maximum likelihood; Nonuniform illumination; Fitting a background function; Rank leveling; Color images; Nonplanar views; Computer graphics; Geometric distortion; Alignment; Interpolation; Morphing Image Enhancement in the Spatial Domain; Purposes for enhancement; Contrast expansion; False color lookup tables (LUTs); Contrast manipulation; Histogram equalization; Contrast in color images; Local equalization; Laplacian sharpening; The unsharp mask; Derivatives; Edges and gradients; Edge orientation; More edge detectors; Rank-based methods; Texture; Implementation notes; Image math; Subtracting images; Multiplication and division; Principal component analysis; Principal component analysis for contrast enhancement; Other image combinations; Cross-correlation Processing Images in Frequency Space; About frequency space; The Fourier transform; Fourier transforms of simple functions; Moving to two dimensions; Frequencies and spacings; Preferred orientation; Texture and fractals; Removing selected frequencies; Periodic noise removal; Selection of periodic information; Convolution; Deconvolution; Noise and Wiener deconvolution; Other deconvolution methods; Additional notes on deconvolution; Template matching and correlation; Autocorrelation; Wavelets Segmentation and Thresholding; Brightness thresholding; Automatic settings; Multiband images; Color thresholding; Thresholding from texture; Multiple thresholding criteria; Textural orientation; Region boundaries; Noise and overlaps; Selecting smooth boundaries; Conditional histograms; Boundary lines; Contours; Cluster analysis; More segmentation methods; Image representation Processing Binary Images; Boolean operations; Combining Boolean operations; Masks; From pixels to features; Filling holes; Measurement grids; Boolean logic with features; Selecting features by location; Double thresholding; Erosion and dilation; Opening and closing; Isotropy; Measurements using erosion and dilation; Extension to grayscale images; Neighborhood parameters; Examples of use; Euclidean distance map; Watershed segmentation; Ultimate eroded points; Skeletons; Topology; Boundary lines; Combining skeleton and Euclidean distance map Image Measurements; Photogrammetry; Comparisons; Global measurements; Volume; Surface area; Grain size; Multiple surfaces; Length; Thickness; Sampling strategies; Determining number; Curvature, connectivity, and the Disector; Anisotropy and gradients; Size distribution; Classical stereology (unfolding) Feature Measurements; Brightness measurements; Density; Brightness profiles; Color values; Determining location; Orientation; Neighbor relationships; Separation distance; Alignment; The linear Hough transform; The circular Hough transform; Counting; Special counting procedures; Feature size; Circles and ellipses; Caliper dimensions; Perimeter Characterizing Shape; Describing shape; Dimensionless ratios; Effects of orientation; "Like a circle"; An example: Leaves; Topology and the skeleton; Boundaries; Shock graphs; Fractal dimension; Measurement techniques; Harmonic analysis; Chain code; An example: Arrow points; Wavelets; Moments; An example: Dandelion; Zernike moments; Landmarks Correlation, Classification, Identification, and Matching; A variety of purposes; Matching; Cross-correlation; Curvature scale space; Classification; Distributions and decision points; Linear discriminant analysis (LDA) and principal component analysis (PCA); Class definition; Unsupervised learning; Are groups different?; Neural nets; k-Nearest neighbors; Parametric description; Bayesian statistics; A comparison; Harmonic analysis and invariant moments&l … (more)
- Edition:
- Seventh edition Seventh edition
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2015
- Extent:
- 1 online resource, illustrations (colour)
- Subjects:
- 621.367
Image processing -- Handbooks, manuals, etc - Languages:
- English
- ISBNs:
- 9781498740289
- Related ISBNs:
- 9781498740265
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; item not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.136939
- Ingest File:
- 02_062.xml