Download Advances in Imaging and Electron Physics, Vol. 92 by Peter W. Hawkes (Ed.) PDF

By Peter W. Hawkes (Ed.)

ISBN-10: 0120147343

ISBN-13: 9780120147342

This quantity comprises chapters discussing photo enhancement and propagation, and box behaviour in hugely anisotropic media. it truly is meant for researchers in optical technological know-how, electric engineering, photograph processing and mechanical engineering.

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Extra info for Advances in Imaging and Electron Physics, Vol. 92

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D. Weighted Unsharp Masking (Jackson and Kaye, 1982). The conventional unsharp masking is a well-known method for enhancing high spatial frequencies by subtracting from the original image f ( x , y) a blurred version b(x,y) of the same. If b(x,y) is obtained by means of a linear low pass, as for instance by determining the unweighted average gray value inside of the observation window U,the unsharp masking is equivalent to a linear high pass. Now, let us consider an ideal gray-value step function with step height A , and an edge pixel p = (xo,yo).

Y)). 4 The upper right of Fig. 6. d. Weighted Unsharp Masking (Jackson and Kaye, 1982). The conventional unsharp masking is a well-known method for enhancing high spatial frequencies by subtracting from the original image f ( x , y) a blurred version b(x,y) of the same. If b(x,y) is obtained by means of a linear low pass, as for instance by determining the unweighted average gray value inside of the observation window U,the unsharp masking is equivalent to a linear high pass. Now, let us consider an ideal gray-value step function with step height A , and an edge pixel p = (xo,yo).

Text, drawings), a binarization with fixed threshold can lead to serious errors in the presence of a pronounced background shading. , of the lowest possible spatial frequency, it can be extracted from the image signal f ( x , y ) by means of a spatial low-pass filter with a properly chosen cutoff frequency. threshold Black Background m U 1 -~ Result of a binarization with fixed threshold FIGURE 9. Schematic representation of the problem arising in the binarization with a fixed threshold of an almost ideal binary image signal (top) in presence of shading and noise (middle).

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