1997
DOI: 10.1016/s0030-4018(97)00097-7
|View full text |Cite
|
Sign up to set email alerts
|

Fast Fourier method for the accurate rotation of sampled images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
51
0

Year Published

2000
2000
2022
2022

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 54 publications
(51 citation statements)
references
References 8 publications
0
51
0
Order By: Relevance
“…For a propagated distance from zero to infinity, the rotation angle α corresponds to 0°up to 90°. According to Larkin [10] and Lohmann [11], an arbitrary rotation matrix can be expressed as a product of three shearing matrices. When the fast Fourier transform is used to implement these shearing operations, this way produces accurate results for the rotated image.…”
Section: Results and Discussion Of Methodsmentioning
confidence: 99%
“…For a propagated distance from zero to infinity, the rotation angle α corresponds to 0°up to 90°. According to Larkin [10] and Lohmann [11], an arbitrary rotation matrix can be expressed as a product of three shearing matrices. When the fast Fourier transform is used to implement these shearing operations, this way produces accurate results for the rotated image.…”
Section: Results and Discussion Of Methodsmentioning
confidence: 99%
“…Figure 5 (a) is an example of STEM image with accelerating voltage of 200 kV and magnification of 3,000,000. The inside of Si lattice (red frame of 700 × 700 pixels) is extracted and transformed to a frequency domain image ( Figure 5 (b)) with zero padding method 15,16 . The positions of peaks of the frequency domain image shown in Table 2 are compared with the Si lattice pattern ( Figure 5 (c)), then, an image pixel size and inclination angles of the image are calculated.…”
Section: Image Parameters Of Stem Image By 2d Fourier Analysismentioning
confidence: 99%
“…Local interpolation is an inexact step that destroys global information about the image. In spite of these disadvantages, an FFT-based rotation algorithm using three shears shows fast and accurate results [8, 19]. The basic concept of that method is that one can apply the 3 shear processes to the original image and each shear process is implemented by the FFT.…”
Section: Related Workmentioning
confidence: 99%
“…We report the results by the two methods (Method A and Method B) for computing S m ( θ ). We also report the test results of the FFT-based image rotation method developed by Larkin et al [8] and Owen et al [19] by applying their method to our example images. As mentioned earlier, in this FFT-based method, three consecutive shears are implemented using FFT.…”
Section: Rotation Of Images and Accuracy Testmentioning
confidence: 99%