By Peter W. Hawkes (Ed.)
This quantity comprises chapters discussing snapshot enhancement and propagation, and box behaviour in hugely anisotropic media. it really is meant for researchers in optical technological know-how, electric engineering, snapshot processing and mechanical engineering.
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Additional resources for Advances in Imaging and Electron Physics, Vol. 92
A relatively simple and fast method for extracting the background information is to approximate it with a piecewise linear two-dimensional gray-value function g(x,y ) of the spatial coordinates x and y . The whole image is subdivided into Q x Q square fields, each of L x L pixels, where L is a power of 2. As shown in the lower left of Fig. 10, g(x,y) is then the juxtaposition of the linear partial backgrounds of the single fields. The value of Q should be FI~URB 10. Example of shading compensation by background subtraction.
It utilizes the cumulative gray-value distribution function IfL@), where the integer g (0 Ig IG - 1) is the gray value, as the input/output gray-value transformation function for determining the enhanced gray value u(x, y). Here, however, HL(g) is computed in an L x L window U,centered upon the current pixel (x, y). In order to take account of the pixel locations inside U, the gray values . f ( i , j ) , ( i , j ) E U, are weighted with weights w(i, j) shaped according to a Gaussian function G(i,j ) , with G(i = x , j = y) = 1, and G ( i , j ) = 0 at the borders of U.
Lower left: Background extracted by piecewise linear regression in 32 x 32 fields. 6. 23 IMAGE ENHANCEMENT adapted to the rate of variation of the background over the image field: The less uniform the background is, the higher Q should be. For a background with very slow variations, Q can be set equal to 1. Inside of each field F,,, 1 Ic, r IQ,the gray-value function f(x, y ) is approximated by a separate linear function - X c r ) + BcAY + Ccr, where A,,, B,,, and C,, are constants, and (X,,, I-&) is the center of Fcr.
Advances in Imaging and Electron Physics, Vol. 92 by Peter W. Hawkes (Ed.)