The Image Processing Handbook
First published in 1992, The Image Processing Handbook not only set the standard for professional references in this field, but also provided the first text truly accessible to undergraduate students and non-specialists. Each subsequent edition has reflected the continuing rapid advances in image processing, and the fourth edition is no exception. In fact, its broader scope, increased depth, and logical presentation make it, more than ever, a powerful teaching tool, essential reference, and handy companion for both new and experienced image processors and analysts.
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2 Printing and Storage
3 Correcting Imaging Defects
4 Image Enhancement Processing in the Spatial Domain
5 Processing Images in Frequency Space
6 Segmentation and Thresholding
7 Processing Binary Images
8 Global Image Measurements
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2D images algorithms angle applied array background binary image blur boundary boundary representation brightness values calculated camera color images combined compression counting cross-correlation data set deconvolution density detector dilation dimension direction discussed in Chapter display distance dots edges electron elevation erosion fibers Fourier transform fractal fractal dimension function Gaussian grey scale grey-scale grid halftone histogram Hough transform image processing interpolation kernel Laplacian light microscope lines measurement median filter method neighborhood neighbors noise operations optical orientation original image parameters particles pattern peaks performed pixel values plane plot point spread function points possible power spectrum printers produce range image reconstruction regions requires resolution result rotation sample scan scanning electron microscope selected shape shown in Figure shows an example skeleton smoothing space spatial specimen structure surface techniques texture thresholding typical variation vertical visual volumetric display voxels x-ray