Registration, image

Unfortunately, a perfect fit is almost never possible or is very difficult to achieve. Therefore, a simplified problem is considered instead, where the transform has some specific form, e.g. it is a composition of translation. 

In case of investigation of materials with a microstructure, it is useful to compare the two-dimensional distributions of features measured with complementary techniques at the same sample position. Let us consider the problem of matching 2-D EPMA and SIMS micrographs. Both of these analytical techniques have distinct advantages and disadvantages, which are shown in Table 2 (see p. 513). 

There are several problems encountered in combination of SIMS and EPMA images. Due to the change of the sample holder, the images sometimes have different orientations. SIMS and EPMA have different projection functions, i.e. the projection of different concentrations to the resulting image intensity values is non-monotonic and non-linear. EPMA and SIMS micrographs also exhibit various artefacts, e.g. lateral distortion of the SIMS distributions [26]. Most of these distortions are both local and non-linear. All the above 

2 Registration of SIMS and EPMA images based on their wavelet transform maxima 

For comparative reasons, the same micrographs of a chromium distribution, obtained with EPMA and SIMS (see Fig. 31), as in [72,26] will be used. 

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Another strategy is to utilize single multiband dichroic mirrors and emission filters and separate exciter filters either in an external slider or filter wheel. This will preserve the image registration and reduce mechanical vibrations, but the trade offs are a reduced brightness of the fluorescence, limitations on how many different probes can be separated, and reduced dynamic range and sensitivity due to the necessary color CCD camera. 

If sensitivity, spectral resolution, and minimal photobleaching are primary concerns, single narrow band filters sets with black and white CCD camera detection is the best option. Image registration shifts are minimized in today s filters by the use of polished substrates and virtually eliminated by using filter sets made to zero shift specifications. 

X. Wu, S.J. Dibiase, R. GuUapaUi, G.X. Yu, Deformable image registration for the use of magnetic resonance spectroscopy in prostate treatment planning, Int. J. Radiat. Oncol. Biol. Phys. 58 (2004) 1577. 

W.K. Pratt, Correlation Techniques for Image Registration. IEEE Trans, on Aerospace and Electronic Systems, AES-10 (1974), 353-358. 

B.S. Reddy and B.N. Chatterji, An FFT-Based Technique for Translation. Rotation, and Scale-Invariant Image Registration, IEEE Trans. Imag. Proc., 5 (8) (1996) 1266-1271. 

J. Le Moigne and R.F. Cromp, The Use of Wavelets for Remote Sensing Image Registration and Fusion, TR-96-171, NASA Goddard Space Flight Center, 1996. 

There seems to be some debate over the limit between static and dynamic measurements related to the question of the frequency of image registration (frames per second) at which a true real time observation is done. Obviously this judgement—if it is necessary at all— has to be made with reference to the rate of change at the surface. No attempt is made in this text to enter this discussion. Consequently, no attempt is made in this text to enter into this debate video STM will not be separated from other real time STM . 

Imaging Biological Samples Problems and Solutions A. Image Registration The Ideal and the Real 13. Alignment Algorithms C. Spherical Aberration... 

Imaging information Pre-op image registration Planning, registration Planning, registration... 

Meijering EHW, Zuiderveld KJ, Viergever MA (1999) Image registration for digital subtraction angiography. Int J Computer Vision 31 227-246... 

D Image Registration 78 The Registration Problem 80 Similarity Metrics 81... 

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