An Application of Fourier-Mellin Transform in Image Registration

Guo, Xiaoxin; Xu, Zhiyong; Lu, Yinan; Pang, Yunjie

doi:10.1109/cit.2005.62

Cited by 16 publications

(3 citation statements)

References 19 publications

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“…Although useful for non-homogenous deformation, this model cannot handle strong global mismatches, especially rotations, as they are always approximated by deforming the grid. Therefore, initially the translation and rotation of the moving image with respect to the xed image were corrected using a Fourier-Mellin algorithm 30,31 . For simplicity, either a single colour channel or the average of all channels from the moving image was used further.…”

Section: Work Ow For Precise Registration Of Histological Sections and Srµct Data With Fuxlastixmentioning

confidence: 99%

Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach

Albers

Svetlove

Alves

et al. 2021

Preprint

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Although x-ray based 3D virtual histology is an emerging tool for the analysis of biological tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the aim was to establish a novel approach that combines 3D information provided by microCT with high specificity that only (immuno-)histochemistry can offer. For this purpose, we developed a software frontend, which utilises an elastic transformation technique to accurately co-register various histological and immunohistochemical stainings with free propagation phase contrast synchrotron radiation microCT. We demonstrate that the precision of the overlay of both imaging modalities is significantly improved by performing our elastic registration workflow, as evidenced by calculation of the displacement index. To illustrate the need for an elastic co-registration approach we examined specimens from a mouse model of breast cancer with injected metal-based nanoparticles. Using the elastic transformation pipeline, we were able to co-localise the nanoparticles to specifically stained cells or tissue structures into their three-dimensional anatomical context. Additionally, we performed a semi-automated tissue structure and cell classification. This workflow provides new insights on histopathological analysis by combining CT specific three-dimensional information with cell/tissue specific information provided by classical histology.

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Section: Work Ow For Precise Registration Of Histological Sections and Srµct Data With Fuxlastixmentioning

confidence: 99%

Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach

Albers

Svetlove

Alves

et al. 2021

Preprint

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show abstract

“…The correlation method succumbs to failure when there are changes in rotation or scale between images, in such cases, Log-Polar Transform (LPT) [8][9][10][11][12][13] is widely used. Fourier-Mellin used a composite algorithm (phase correlation technique with the Log-Polar Transformation), it describes rotation and scale as translations in parameter space [14][15][16][17].…”

Section: Literature Surveymentioning

confidence: 99%

Preprocessing and Enhancement for Image Fusion using Composite Algorithm

Kulkarni¹,

Digey²

2020

ITM Web Conf.

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A technique of alignment and removal of noise is a prominent pre-processing part of biomedical image fusion. The purpose is to evaluate and analyze visually as well as parametric findings. However, considering practical execution still there is need for improvement in pre-processing for image processing applications. Therefore, the problem of blockage and variation in scans of patients, need to be overcome by properly align and denoise input images. Therefore to design the registration algorithm in such a way, it should cover all geometric motions of biomedical images, by which it is useful to the practitioner for the detection of medical defects. Herewith we have proposed a log-polar and phase correlation composite algorithm for the registration of all geometric motions. The proposed algorithm preserves the outline portion and surface information from the images, which yields perceptible effects. This will be useful in order to take out visual data from a noisy background. Since it is shown that the results with noisy and after denoised compared visually and also parametric analysis is carried out by calculating PSNR, MSE, contrast, structural content, entropy, etc

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“…The Fourier-Mellin-Transform (FMT) algorithm, first introduced in the 1990s, is a traditional image registration algorithm for images captured with pinhole cameras. It is a popular algorithm in many fields of studies such as remote sensing [1], robotics [2] and image analysis [3], [4], to name a few. The classic Fourier-Mellin transform was first presented by Reddy and Chatterji [5], and over the past few decades, improved massively on its computational efficiency and robustness [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

An improved multicast routing algorithm

Jiang

2004

J. of Shanghai Univ.

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Multicasting is a communication service that allows an application to efficiently transmit copies of data pockets to a set of destination nodes. The problem of finding a minimum cost multicast tree can be formulated as a minimum Steiner tree problem in networks, which is NP-completeness. MPH (minimum path cost heuristic) algorithm is a famous solution to this problem. In this paper, we present a novel solution TPMPH (two phase minimum path cost heuristic) to improve the MPH by generating the nodes and the edges of multicast tree separately. The cost of multicast tree generated by the proposed algorithm with the same time as MPH is no more than that of MPH in the worst case. Extensive simulation results show that TPMPH can effectively improve the performance on MPH, and performs better in large-scale networks and wireless networks.

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An Application of Fourier-Mellin Transform in Image Registration

Cited by 16 publications

References 19 publications

Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach

Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach

Preprocessing and Enhancement for Image Fusion using Composite Algorithm

An improved multicast routing algorithm

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