Blur Invariant Translational Image Registration for $N$-fold Symmetric Blurs

Pedone, Matteo; Flusser, Jan; Heikkilä, Janne

doi:10.1109/tip.2013.2268972

Cited by 21 publications

(9 citation statements)

References 34 publications

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“…Under these premises, the Inverse Fourier Transform results in a single peak, which the location of the peak corresponds to the motion vectors between the two frames. For heavily blurred movies, we utilized an improved version of the original phase correlation method [ 49 ], which is more robust in registering blurred images. During the motion compensation step, maximum overlap among the frames was calculated and the point of view was fixed by shifting frame centers according to estimated motion vectors in the previous step.…”

Section: Methodsmentioning

confidence: 99%

Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention

et al. 2015

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Cancer-associated fibroblasts (CAFs) constitute an important part of the tumor microenvironment and promote invasion via paracrine functions and physical impact on the tumor. Although the importance of including CAFs into three-dimensional (3D) cell cultures has been acknowledged, computational support for quantitative live-cell measurements of complex cell cultures has been lacking. Here, we have developed a novel automated pipeline to model tumor-stroma interplay, track motility and quantify morphological changes of 3D co-cultures, in real-time live-cell settings. The platform consists of microtissues from prostate cancer cells, combined with CAFs in extracellular matrix that allows biochemical perturbation. Tracking of fibroblast dynamics revealed that CAFs guided the way for tumor cells to invade and increased the growth and invasiveness of tumor organoids. We utilized the platform to determine the efficacy of inhibitors in prostate cancer and the associated tumor microenvironment as a functional unit. Interestingly, certain inhibitors selectively disrupted tumor-CAF interactions, e.g. focal adhesion kinase (FAK) inhibitors specifically blocked tumor growth and invasion concurrently with fibroblast spreading and motility. This complex phenotype was not detected in other standard in vitro models. These results highlight the advantage of our approach, which recapitulates tumor histology and can significantly improve cancer target validation in vitro.

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Section: Methodsmentioning

confidence: 99%

Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention

et al. 2015

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“…The shift error is defined as the Euclidean distance between the true shift and the estimated shift. The performance is quantified according to the criterion proposed in [16], that is, by counting the number of misregistrations, where a "misregistration" occurs whenever exceeds a specified threshold . We set pixels.…”

Section: Methodsmentioning

confidence: 99%

Quaternion Wiener Deconvolution for Noise Robust Color Image Registration

Pedone

Bayro–Corrochano

Flusser

et al. 2015

IEEE Signal Process. Lett.

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In this letter, we propose a global method for registering color images with respect to translation. Our approach is based on the idea of representing translations as convolutions with unknown shifted delta functions, and performing Wiener deconvolution in order to recover the shift between two images. We then derive a quaternionic version of the Wiener deconvolution filter in order to register color images. The use of Wiener filter also allows us to explicitly take into account the effect of noise. We prove that the well-known algorithm of phase correlation is a special case of our method, and we experimentally demonstrate the advantages of our approach by comparing it to other known generalizations of the phase correlation algorithm.

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“…Global methods do not search for particular landmarks in the images but rather try to estimate the between-image transformation directly. Most blur-invariant global methods were motivated by traditional phase correlation [84], where the blur-insensitivity was achieved by modifications of the cross-power spectrum [41], [46], [47], [85]. Global methods are fast and easy to implement, but their limiting requirements -simple betweenframe distortion (most of them allow only translation and/or rotation), the need for a large overlap of the images and the assumption of the uniform blur -might be a drawback in more complicated situations.…”

Section: Registration Of Blurred Imagesmentioning

confidence: 99%

Projection Operators and Moment Invariants to Image Blurring

Flusser

Suk

Boldyš

et al. 2015

IEEE Trans. Pattern Anal. Mach. Intell.

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In this paper we introduce a new theory of blur invariants. Blur invariants are image features which preserve their values if the image is convolved by a point-spread function (PSF) of a certain class. We present the invariants to convolution with an arbitrary N-fold symmetric PSF, both in Fourier and image domain. We introduce a notion of a primordial image as a canonical form of all blur-equivalent images. It is defined in spectral domain by means of projection operators. We prove that the moments of the primordial image are invariant to blur and we derive recursive formulae for their direct computation without actually constructing the primordial image. We further prove they form a complete set of invariants and show how to extent their invariance also to translation, rotation and scaling. We illustrate by simulated and real-data experiments their invariance and recognition power. Potential applications of this method are wherever one wants to recognize objects on blurred images.

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Blur Invariant Translational Image Registration for $N$-fold Symmetric Blurs

Cited by 21 publications

References 34 publications

Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention

Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention

Quaternion Wiener Deconvolution for Noise Robust Color Image Registration

Projection Operators and Moment Invariants to Image Blurring

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