Download e-book for kindle: Advances in Imaging and Electron Physics, Vol. 92 by Peter W. Hawkes (Ed.)

Imaging Systems

By Peter W. Hawkes (Ed.)

ISBN-10: 0120147343

ISBN-13: 9780120147342

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

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

Sample text

49 IMAGE ENHANCEMENT The soft morphological filtering, described by Kuosmanen et a/. (1992) and by Kuosmanen (1993), aims at giving the user the possibility of gradually varying the performance of the morphological basic operators by introducing the following extensions, which confer on the soft morphological filters some useful detail-preserving properties not possessed by the conventional morphological filters: The Max and Min operators are substituted by a general rank selection operation: The filter output is the rth smallest gray value of the set of the operator’s arguments.

UT represented in Fig. 16, where T = 4 in Fig. 16a, and T = 2(L - 1) = 12 45 IMAGE ENHANCEMENT in Fig. , T , be the average gray value in CJ,. The with Max = max ( p t ) ,Min t = I ... r = min ( p t ) , t= 1 ... T where E is a very small quantity preventing a division by zero, has been shown to be particularly effective compared to several other investigated measures (Zamperoni, 1992). 5 for an ideal step edge; (ii) a increases with decreasing average local brightness, in accordance with the human perception of the details of an image (see also Fig.

Inverse Contrast Ratio Mapping The consideration of the sensitivity of the visual system is at the basis also of the inverse contrast ratio mapping approach (Jain, 1989): The visibility of a pattern depends on the ratio a / p between local standard deviation and local average. For enhancing the visibility of low-contrast patterns, the original gray value f ( x , y ) is scaled by a factor proportional to the local value of p(x, y ) / o ( x ,y ) . After this local scaling, performed with each pixel, it is necessary to carry out a global scaling in order to match the gray-value range of the filtered image to that of the original image.

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

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