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Radon transformation of S-function Curves. A Geometric Approach

V. F. Leavers, G. F. Miller
1987 Procedings of the Alvey Vision Conference 1987  
It is shown that any curve may be replaced by its tangents for the purposes of transformation and that each tangent will produce a maximum value in transform space which may be located using a one dimensional  ...  The Radon transformations of generalized functions concentrated on lines and curves are deduced using a geometric approach and a limiting process.  ...  The application of the work is in the field of computer vision where it has been shown [2] that shape primitives in an edge image may be uniquely characterized by their shape indicative distributions  ... 
doi:10.5244/c.1.45 dblp:conf/bmvc/LeaversM87 fatcat:u7vrbcaocfgxhhghbdjgzgqjbi

Use of the Radon Transform as a Method of Extracting Symbolic Representations of Shape in Two Dimensions

V. Leavers
1988 Procedings of the Alvey Vision Conference 1988  
It has been shown [12] that the Radon transform may be retained as the generic transformation in a parametric transformation technique that allows any analytically defined, two dimensional shape to be  ...  The perception and representation of shape plays a prominent role in computer vision research.  ... 
doi:10.5244/c.2.42 dblp:conf/bmvc/Leavers88 fatcat:grvnzh3sizaixn2s64buvvrzpq

Detection, Recognition, and Tracking: A Survey [article]

Shiyao Chen, Dale Chen-Song
2022 arXiv   pre-print
This ability however doesn't translate well in computers. In Computer Vision and Multimedia, it is becoming increasingly more important to detect, recognize and track objects in images and/or videos.  ...  In this literature review, we focus on some novel techniques on object detection and recognition, and how to apply tracking algorithms to the detected features to track the objects' movements.  ...  It is because the noise sources cause a larger Radon transformation leading to misclassification.  ... 
arXiv:2203.11900v1 fatcat:jhxnjhhmgjg7dm5guqfnzp66ia

On the use of FHT, its modification for practical applications and the structure of Hough image

Mikhail Aliev, Egor Ershov, Dmitry Nikolaev, Jianhong Zhou, Dmitry P. Nikolaev, Antanas Verikas, Petia Radeva
2019 Eleventh International Conference on Machine Vision (ICMV 2018)  
This work focuses on the Fast Hough Transform (FHT) algorithm proposed by M.L. Brady.  ...  We also describe a new way to visualise Hough-image based on regrouping of accumulator space around its center.  ...  the parametrization suggested by them ( -angle between the perpendicular to the line and the abscissa axis 0X and its length) lies in a Θ, ρ) ( bounded region.  ... 
doi:10.1117/12.2522803 dblp:conf/icmv/AlievEN18 fatcat:7ucotkpeibhjhh3zyrkjb2oehe

Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum

Mohsen Ebrahimi Moghaddam, Mansour Jamzad
2006 EURASIP Journal on Advances in Signal Processing  
In this paper, we present a novel algorithm to estimate direction and length of motion blur, using Radon transform and fuzzy set concepts.  ...  The most important advantage of this algorithm is its robustness and precision in noisy images.  ...  ACKNOWLEDGMENT We highly appreciate Iran Telecommunication Research Center for its financial support to this research, that is part of a Ph.D. thesis.  ... 
doi:10.1155/2007/68985 fatcat:y5vrzcopwbhwtkw7yi4z2vm5zq

Interaction between Model Based Signal and Image Processing, Machine Learning and Artificial Intelligence

Ali Mohammad-Djafari
2019 Proceedings (MDPI)  
To use these "Big Data" to extract more knowledge, the Machine Learning and Artificial Intelligence tools have shown success and became mandatory.  ...  Signale and image processing has always been the main tools in many area and in particular in Medical and Biomedical applications.  ...  Mainly, first a linear transform (Fourier, Wavelet, Radon, etc.) is applied to the signal or the image, then some thresholding or windowing is applied in this transform domain and finally an inverse transform  ... 
doi:10.3390/proceedings2019033016 fatcat:bzgalmy5ivajtg7ehw7tjdzoba

Using Machine Learning to Profile Asymmetry between Spiral Galaxies with Opposite Spin Directions

Lior Shamir
2022 Symmetry  
The results show that the classifier was able to predict the spin direction of the galaxy by its image in accuracy higher than mere chance, even when the images in one of the classes were mirrored to create  ...  Here, machine learning is applied to study the possible morphological differences between galaxies that spin in opposite directions.  ...  Acknowledgments: I would like to thank the two anonymous knowledgeable reviewers for the insightful comments and their help in improving the paper.  ... 
doi:10.3390/sym14050934 fatcat:bt677mtacrcepgov7g4j2wgr2q

Medical Instrument Detection in Ultrasound-Guided Interventions: A Review [article]

Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
2021 arXiv   pre-print
The non-data-driven methods were extensively studied prior to the era of machine learning, i.e. data-driven approaches.  ...  We discuss the main clinical applications of medical instrument detection in ultrasound, including anesthesia, biopsy, prostate brachytherapy, and cardiac catheterization, which were validated on clinical  ...  cludes parametrical space-based methods and physical spacebased methods, since they detect the instrument in parametric transformation and normal physical space, respectively.  ... 
arXiv:2007.04807v2 fatcat:wtcc7udgefculoktjfoipndtxq

Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks [article]

Aditya Jyoti Paul, Smaranjit Ghose, Kanishka Aggarwal, Niketha Nethaji, Shivam Pal, Arnab Dutta Purkayastha
2021 arXiv   pre-print
The historical and cultural diversity exhibited throughout the geography of the nation is a unique spectacle for people around the world and therefore serves to attract tourists in tens of millions in  ...  Recently, machine learning approaches revolving around the usage of monument pictures have been shown to be useful for rudimentary analysis of heritage sights.  ...  The Radon transform was inspired by the Radon transform normalization discussed in [30] . Yi et al. [31] discusses automated house style classification using CNNs.  ... 
arXiv:2107.14070v1 fatcat:vw7r4hc32bbidkhl5z3s7254v4

Orientation distribution estimation for Q-ball imaging

Yogesh Rathi, Oleg Michailovich, Sylvain Bouix, M. E. Shenton
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
In this work, we propose to use the hyperspherical de la Vallee Poussin kernel to represent the measured Q-ball signal and derive its spherical radon transform to analytically compute the corresponding  ...  We show, with experiments, the robustness of the proposed method to signal noise and compare it with ODF computation using spherical harmonics on some synthetic and real data set.  ...  We now have all the ingredients in the linear combination to approximate the measured signal. Application of the spherical radon transform gives the estimated ODF.  ... 
doi:10.1109/cvprw.2008.4562963 dblp:conf/cvpr/RathiMBS08 fatcat:r63dbxhjbjdyvm7upaaa4zirnq

Global and Regional Features [chapter]

Scott Krig
2014 Computer Vision Metrics  
: (left to right) Top hat, Shannon, Dabechies, Smylet, Coiflett Key applications for the Hough and Radon transforms are shape detection and shape description of lines, circles, and parametric curves.  ...  It was originally devised to detect lines, and has been subsequently generalized to detect parametric shapes [301], such as curves and circles.  ... 
doi:10.1007/978-1-4302-5930-5_3 fatcat:wh5qyrhtqrav5ip5z3ck7uiqiu

A Survey of Shape Feature Extraction Techniques [chapter]

Yang Mingqiang, Kpalma Kidiyo, Ronsin Joseph
2008 Pattern Recognition Techniques, Technology and Applications  
Due to the fact that huma vision and perception are an extraordinary complicated system, it is a utopia to hope that the machine vision has super excellent performance with small complexity.  ...  Scale-spaces find wide application in computer vision, in particular, due to smoothing and elimination of small details.  ...  The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition.  ... 
doi:10.5772/6237 fatcat:ggyqwzt4jvfuxg4cjb7vjniu3q

Parallel Monte Carlo Search for Hough Transform

Raul H. C. Lopes, Virginia N.L. Franqueira, Ivan D. Reid, Peter R. Hobson
2017 Journal of Physics, Conference Series  
Extended in the 1970s to the detection of space forms, what came to be known as Hough Transform (HT) has been proposed, for example, in the context of track fitting in the LHC ATLAS and CMS projects.  ...  Then, parallel algorithms for variations of the Hough Transform and the Radon Transform for line detection are introduced.  ...  Randomized versions of the HT go back to Kyriati et al in [12] , which showed experimentally that it is possible to accelerate shape detection and obtain results identical to the standard HT, by using  ... 
doi:10.1088/1742-6596/898/7/072052 fatcat:livp72nbqjcthfq4jumo74jzcm

Image Style Transfer: from Artistic to Photorealistic [article]

Chenggui Sun, Li Bin Song
2022 arXiv   pre-print
However, our focus is on VGG-based techniques, whitening and coloring transform (WCTs) based techniques, the combination of deep learning with traditional image processing techniques.  ...  In this review, we reviewed the development of photorealistic style transfer starting from artistic style transfer and the contribution of traditional image processing techniques on photorealistic style  ...  Singh et al. reported to extract pose information from the parametric Radon transform, which generated maximum correspondence to the specific orientations of the skeletal representation [17] .  ... 
arXiv:2203.06328v1 fatcat:i3krcc2ux5hndf4mjxzl2gp3zi

Digital or analog Hough Transform?

N. Kiryati, M. Lindenbaum, A. M. Brucksiein
1990 Procedings of the British Machine Vision Conference 1990  
It is shown that the "analog" approach is greatly superior in high resolution applications, where a "digital" Hough Transform would generally require an infeasibly large number of accumulators.  ...  These correspond to large collinear sets of edge-points. Originally, the slope-intercept (m,b) parametrization of straight lines had been employed in the Hough Transform.  ...  Acknowledgement The authors thank Dr. V.F. Leavers, King's College, London, for bringing reference [1] to their attention.  ... 
doi:10.5244/c.4.59 dblp:conf/bmvc/KiryatiLB90 fatcat:kkbenxx4obbtlb5x2klobce6j4
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