Download PDF by A. Ardeshir Goshtasby: 2-D and 3-D Image Registration: for Medical, Remote Sensing,

By A. Ardeshir Goshtasby

ISBN-10: 0471649546

ISBN-13: 9780471649540

ISBN-10: 3175723993

ISBN-13: 9783175723998

A definitive and finished evaluation of present literature and the main leading edge applied sciences within the box of picture registration. rather well geared up and written. vital for laptop experts.

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Extra info for 2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications

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Selecting MST edges in this manner will ensure that branches are connected to the spine in the direction of the maximum gradient. A complex region may have an MST that has many branches. In order to obtain longer curve segments, the maximal path (longest path) in the MST is determined. Then, branches connected to the maximal path that are longer than a threshold value are cut off. A branch is treated like a new tree, and if it has long branches, they are recursively cut until all trees have a trunk with branches that are shorter than a threshold value.

0. Computation of each element of matrix f requires only four multiplications and divisions. 5. Computation of inverse filtering of an N × N image by the FFT algorithm takes in the order of N 2 log N multiplications. 1 takes in the order of N 2 multiplications. For large values of N , this computational saving can be significant. An example of inverse filtering is given in Fig. 4. 4b–d. 48 we see that the amount of deblurring applied to the image is too much, resulting in artifacts. 2 IMAGE SEGMENTATION Image segmentation is the process of partitioning an image into meaningful parts and is perhaps the most studied topic in image analysis.

Smoothing or convolving an image with a Gaussian and then determining its Laplacian is the same as convolving the image with the Laplacian of Gaussian (LoG). 19) where denotes convolution. 19), G(x, y) can be replaced with G(x)G(y); therefore, the LoG of an image can be computed from LoG[f (x, y)] = ∂ 2 G(x) ∂x2 G(y) f (x, y) + G(x) ∂ 2 G(y) ∂y 2 f (x, y). 20) IMAGE SEGMENTATION 19 Edge detection by the LoG operator was proposed by Marr and Hildreth [261] in a pioneering paper on edge detection.

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2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications by A. Ardeshir Goshtasby

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