By Peter W. Hawkes (Ed.)
This quantity comprises chapters discussing photograph enhancement and propagation, and box behaviour in hugely anisotropic media. it truly is meant for researchers in optical technology, electric engineering, picture processing and mechanical engineering.
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Extra info for Advances in Imaging and Electron Physics, Vol. 92
19d both feature the highest degree of order, although the former is maximally anisotropic, and the latter is perfectly isotropic. The values of Q for the patterns of Fig. 66, respectively. An example of the performance of this filter, with a window size of 9 x 9, applied to an infrared view, is shown in the lower half of Fig. 18. D . Detail Enhancement Methods Derived from the Mathematical Morphology The mathematical morphology (see Haralick and Shapiro, 1992, for a tutorial introduction) provides a most efficient low-level image processing toolbox, based on the fundamental operations of erosion and dilation and on their combinations.
F(X,Y)). The histogram equalization approach, as described in Section II,B and in this section, takes account of objective gray-value differences, but not of the subjectively perceived contrast. The contrast sensitivity of the visual system with respect to the relative gray-value difference Ag/g between two regions depends in reality upon the luminosity go of a uniform background, in which the two regions are embedded. This senisitivty is a maximum for g = go, and decreases monotonically for other values of g.
This is often due to the decrease of the imaging system’s modulation transfer function at higher spatial frequencies. Equalizing the modulation transfer function by means of a linear filter mostly does not represent a satisfying solution, because this would enhance the random and discretization noise more than the useful image contents at high spatial frequencies. An enhancement may also be useful when there is no appreciable noise caused by the imaging system, and an enhancement of the local contrast is desired for a better visual image assessment-for instance, in medical diagnostics.
Advances in Imaging and Electron Physics, Vol. 92 by Peter W. Hawkes (Ed.)