Publications
208 results found
Basalamah S, Bharath A, McRobbie D, 2004, Contrast marginalised gradient template matching, 8th European Conference on Computer Vision, Publisher: SPRINGER-VERLAG BERLIN, Pages: 417-429, ISSN: 0302-9743
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- Citations: 3
Ng J, Bharath AA, 2004, Steering in scale space to optimally detect image structures, European conference on computer vision, computer vision - ECCV 2004, Prague, Czech Republic, Pages: 482-494
Basalamah S, Bharath A, McRobbie D, 2004, Contrast marginalised gradient template matching, Berlin, 8th European conference on computer vision, Prague, Czech Republic, Publisher: Springer-Verlag, Pages: 417-429
Golemati S, Sassano A, Lever MJ, et al., 2003, Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block matching, ULTRASOUND IN MEDICINE AND BIOLOGY, Vol: 29, Pages: 387-399, ISSN: 0301-5629
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- Citations: 148
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 2002, Retinal vascular tree morphology: A semi-automatic quantification, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 49, Pages: 912-917, ISSN: 0018-9294
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- Citations: 178
Jabbar A, Martinez-Perez ME, Parker KH, et al., 2001, Topology of retinal vasculature in essential and accelerated hypertension, HYPERTENSION, Vol: 38, Pages: 977-977, ISSN: 0194-911X
Hamm M, Bharath AA, 2001, Circle size by fusion of pyramidal transform data, Pages: 89-94, ISSN: 0963-3308
We have recently introduced a method of finding circular shapes in digital images by filtering the responses of low-level gradient operators with a rotating kernel function [1]. The approach is related (but not identical to) a Hough transform circle detection procedure. To find circles of a particular size in an image, the size of the kernel function should be matched to the size of the target circle. This is a severe drawback in two circumstances: (a) the size of the target circle is large, or (b) the size of the circle is not exactly known. Problem (b) is usually addressed by creating a three-dimensional Hough transform space, a computationally intensive task which can be prohibitive in high resolution images, or where the range of possible circle sizes is large. To address the first of these problems, a series of multi-rate operators was applied to decompose the image into sub-bands, yielding an overcomplete pyramidal image representation. In each of these sub-bands, the spatially rotating kernel was then applied to generate a series of shape transform spaces which are optimal for circles of various sizes. This has the advantage that a circle of radius R pixels at level 0 (input to the pyramid) can be located with a kernel tuned for approximately size R/2 M-1 at level M of the pyramid (if band-pass outputs are undecimated). We had noted [2] that the decomposition level at which a strong response peak occurred provided a rough indication of the size of a circle in an image. Here, we make more precise predictions about circle size based on the fusion of responses at different levels of pyramidal response space.
Chapman N, Witt N, Gao X, et al., 2001, Computer algorithms for the automated measurement of retinal arteriolar diameters, BRITISH JOURNAL OF OPHTHALMOLOGY, Vol: 85, Pages: 74-79, ISSN: 0007-1161
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- Citations: 89
Golemati S, Sassano A, Lever MJ, et al., 2001, Arterial distension waveform from B-mode ultrasound: comparison with M- mode ultrasound, Zagreb, 9th Mediterranean conference on medical and biological engineering and computing, Pula, Croatia, Publisher: Univ Zagreb, Pages: 569-572
Gao XH, Bharath A, Stanton A, et al., 2001, A method of vessel tracking for vessel diameter measurement on retinal images, International Conference on Image Processing (ICIP 2001), Publisher: IEEE, Pages: 881-884
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- Citations: 62
Gao XH, Bharath A, Stanton A, et al., 2001, A method of vessel tracking for vessel diameter measurement on retinal images, New York, International conference on image processing (ICIP 2001), Thessaloniki, Greece, Publisher: IEEE, Pages: 881-884
Gao XHW, Bharath A, Stanton A, et al., 2000, Quantification and characterisation of arteries in retinal images, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, Vol: 63, Pages: 133-146, ISSN: 0169-2607
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- Citations: 45
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 2000, Geometrical analysis of vascular branches from fundus retinal images, Medical Image Understanding & Analysis (MIUA)
Golemati S, Sassano A, Lever MJ, et al., 2000, Carotid artery wall motion in humans, estimated from B-mode ultrasound images, Journal of Physiology-London, Vol: 525, Pages: 11P-12P
Bharath AA, 2000, Shape from multi-rate filtering, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), Pages: 125-128
Bharath AA, 2000, Steerable filters for multirate shape extraction, IEE Colloquium on Time-Scale and Time Frequency Analysis
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 2000, Geometrical and morphological analysis of vascular branches from fundus retinal images: Medical Image Computing and Computer-Assisted Intervention - Miccai 2000, Pages: 756-765
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 2000, Geometrical and morphological analysis of vascular branches from fundus retinal images, MICCAI, Lecture Notes In Computer Science, Pages: 756-765
Gao XW, Bharath AA, Stanton AV, et al., 2000, Quantification and characterisation of arteries in retinal images, Computer Methods and Programs in Biomedicine, Vol: 63, Pages: 133-146
Bharath AA, 2000, A tiling of phase-space through self convolution, IEEE Transactions on Signal Processing, Vol: 48, Pages: 3581-3585
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 1999, Retinal blood vessel segmentation by means of scale-space analysis and region growing, Proceedings of the Second International Conference on Medical Image Computing and Computer Assisted Intervention, Cambridge
Schroter RC, Leeming AD, Denny E, et al., 1999, Modelling impact-initiated wave transmission through lung parenchyma in relation to exercise-induced pulmonary haemorrhage, Equine Veterinary Journal, Vol: Suppl. 30, Pages: 34-38
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 1999, Segmentation of retinal blood vessels based on the second directional derivative and region growing, Proceedings of International Conference on Image Processing, IEEE Signal Processing Society
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 1999, Retinal blood vessel segmentation by means of scale-space analysis and region growing:Medical Image Computing and Computer-Assisted Intervention, Miccai'99, Proceedings, Pages: 90-97
Bharath AA, Huberson CJ, 1999, Obtaining medial responses from steerable filters, IEE Vision, Image and Signal Processing, Vol: 146, Pages: 286-292
Golemati S, Tegos TJ, Sassano A, et al., 1999, Motion estimation of carotid atherosclerotic plaque from sequences of B-mode ultrasound images, IPEM Meeting on Physics of Ultrasound, York
Schroter RC, Leeming AD, Denny E, et al., 1999, Modelling impact-initiated wave transmission through lung parenchyma in relation to exercise-induced pulmonary haemorrhage, Equine Veterinary Journal, Vol: Suppl. 30, Pages: 34-38
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 1999, Scale-space analysis for the characterisation of retinal blood vessels, Proceedings on Medical Image Understanding and Analaysis (MIUA), Oxford
Martinez-Perez ME, Hughes AD, Stanton AV, et al., 1999, Retinal blood vessel segmentation by means of scale-space analysis and region growing, Proceedings of the Second International Conference on Medical Image Computing and Computer Assisted Intervention, Cambridge
Li G, Bharath AA, 1998, Numeric study of limited diffraction, bandlimited, acoustic waves: A novel solution family of the homogeneous scalar wave equation, WAVE MOTION, Vol: 28, Pages: 203-213, ISSN: 0165-2125
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- Citations: 3
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