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

By Peter W. Hawkes (Ed.)

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

Show description

Read Online or Download Advances in Imaging and Electron Physics, Vol. 92 PDF

Similar imaging systems books

Lossless Compression Handbook (Communications, Networking and Multimedia)

The 21 chapters during this guide are written through the prime specialists on this planet at the conception, concepts, functions, and criteria surrounding lossless compression. As with so much utilized applied sciences, the criteria part is of specific significance to practising layout engineers. with the intention to create units and conversation structures which could converse and be suitable with different platforms and units, criteria needs to be undefined.

Three-Dimensional Holographic Imaging

A complete survey of the state-of-the-art in 3-D holographic imaging concepts and functions This e-book introduces the overall thoughts of either real-time and non-real-time 3D holographic imaging recommendations for medical and engineering functions. It bargains readers a basic realizing of the innovations of three-D holographic imaging in addition to not pricey layout and implementation.

Still Image and Video Compression with MATLAB

This ebook describes the foundations of picture and video compression strategies and introduces present and renowned compression criteria, corresponding to the MPEG sequence. Derivations of proper compression algorithms are built in an easy-to-follow style. quite a few examples are supplied in each one bankruptcy to demonstrate the innovations.

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

Sample text

Since Mz can be determined only after the image filtering scan, a second scan is necessary for the final scaling. 31 IMAGE ENHANCEMENT The window size L represents a user parameter that determines the intensity of the enhancement effect. The operations to be performed for every pixel (x, y ) in order to compute the filter output u(x, y) can be summarized as follows: 1. Initialize: 2. First pass: Update: 3. Second pass: Mi = O , u‘(x, y ) = M2=0. P(X,Y ) 1 + a, Y) MI := MI + f ( x , y ) , M1 M2 M2 := M , + u’(x,y).

The size of U plays a decisive role as far as the intensity of contrast enhancement is concerned. For each window position for which f ( x , y) is equal either tofC,, 28 PIER0 ZAMPERONI or to f&, u(x, y) is equal to 0 or to G - 1 , respectively. ,N are equally distributed, independently of the local gray-value distribution, the probability (equal to 2/N) of u(x, y) being identical to a local extremum grows with decreasing window size. Asymptotically, for a 2 x 1 window, one would obtain a binarized image, characterized by a maximum of local contrast.

4 , considered in multistage filters. , T ) containing the current pixel p , which can be inscribed in an L x L window. Two subwindows, for t = 2 (0)and for t = 9 (0). are shown. , 41 are superior from several points of view: The median is a robust estimator in presence of outliers. In fact, if p lies on a thin line, all the subwindows U, not lying in the line direction feature a uniform distribution with a strong outlier: the line pixel p . It is easier than in the two-dimensional case to discriminate between line segments (to be preserved) and short strokes (to be suppressed) on the basis of their length, and to choose the proper window size for this.

Download PDF sample

Rated 4.43 of 5 – based on 14 votes