The image processing handbook
著者
書誌事項
The image processing handbook
CRC Press, c1992
- タイトル別名
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Image processing
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注記
Includes bibliographical references (p. [435]-442) and index
内容説明・目次
内容説明
"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.
目次
- 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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