Dr. Ramakrishnan Sundaram Profile

Dr. Ramakrishnan Sundaram

Professor ECE Dept

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Author

Publications (23)

Proceedings Article | 21 August 2020 Presentation + Paper

Video analysis methods to track motion across frames

Yiming Han, Ramakrishnan Sundaram

Proceedings Volume 11510, 115100N (2020) https://doi.org/10.1117/12.2567520

KEYWORDS: Video, Video acceleration, RGB color model, Motion analysis, Visualization, Network architectures, Image segmentation, Feature extraction, Convolution

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Proceedings Article | 21 August 2020 Presentation + Paper

Redesign of the wireless sensor network for tomographic imaging

Tenger Batjargal, Ramakrishnan Sundaram

Proceedings Volume 11510, 115101P (2020) https://doi.org/10.1117/12.2568643

KEYWORDS: Received signal strength, Receivers, Metals, Transmitters, Sensor networks, Signal attenuation, Tomography, Sensors, Calibration

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Proceedings Article | 17 September 2018 Presentation + Paper

Tomographic imaging with wireless sensor networks

Tenger Batjargal, Ramakrishnan Sundaram

Proceedings Volume 10752, 1075202 (2018) https://doi.org/10.1117/12.2314860

KEYWORDS: Received signal strength, Calibration, Sensor networks, Data acquisition, Sensors, Tomography, Receivers, Computer simulations, Optical sensors, Transmitters

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Proceedings Article | 19 May 2016 Paper

Wireless imaging sensor network design and performance analysis

Ramakrishnan Sundaram

Proceedings Volume 9869, 98690L (2016) https://doi.org/10.1117/12.2219747

KEYWORDS: Received signal strength, Sensor networks, Optical sensors, Calibration, Data acquisition, Data modeling, Transmitters, Receivers, Computer simulations, Roads

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Proceedings Article | 28 May 2013 Paper

Regularization in radio tomographic imaging

Ramakrishnan Sundaram, Richard Martin, Christopher Anderson

Proceedings Volume 8753, 87530O (2013) https://doi.org/10.1117/12.2012167

KEYWORDS: Roads, Tomography, Sensor networks, Received signal strength, Receivers, Binary data, Transmitters, Data modeling, Image restoration, Signal attenuation

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Proceedings Article | 25 April 2007 Paper

Image data representation for efficient optimization of objective criterion

R. Sundaram

Proceedings Volume 6575, 65750B (2007) https://doi.org/10.1117/12.718366

KEYWORDS: Binary data, Image restoration, Image processing, Data processing, Switching, Convolution, Chemical elements, Computer architecture, Image retrieval, Error analysis

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Proceedings Article | 24 August 2006 Paper

Discrete filters and transforms for digital image data analysis

R. Sundaram

Proceedings Volume 6312, 631206 (2006) https://doi.org/10.1117/12.678500

KEYWORDS: Signal to noise ratio, Image filtering, Electronic filtering, Transform theory, Digital imaging, Digital filtering, Bandpass filters, Gaussian filters, Image analysis, Data analysis

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Proceedings Article | 2 November 2004 Paper

Efficient computing architectures for processing digital image data

Ramakrishnan Sundaram

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.558616

KEYWORDS: Image processing, Data processing, Digital image processing, Image segmentation, Computer architecture, Digital imaging, Algorithm development, Image restoration, Digital filtering, Data storage

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Proceedings Article | 8 August 2003 Paper

Efficient medical image segmentation for the visualization of lesions

Niranjan Tallapally, Ramakrishnan Sundaram

Proceedings Volume 5108, (2003) https://doi.org/10.1117/12.485777

KEYWORDS: Image processing algorithms and systems, Image segmentation, Medical imaging, Image processing, Visualization, Breast, Algorithm development, Detection and tracking algorithms, Electrochemical etching, Image visualization

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Proceedings Article | 9 June 2003 Paper

Lesion identification from scintimammography breast images

Niranjan Tallapally, Ramakrishnan Sundaram, Leonard Coover

Proceedings Volume 5009, (2003) https://doi.org/10.1117/12.473888

KEYWORDS: Image processing algorithms and systems, Detection and tracking algorithms, Breast, Image segmentation, Human-machine interfaces, Signal to noise ratio, Cameras, Algorithm development, Spatial resolution, Visualization

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SPIE Journal Paper | 1 March 2003

Analysis and implementation of an efficient edge detection algorithm

Ramakrishnan Sundaram

OE, Vol. 42, Issue 03, (March 2003) https://doi.org/10.1117/12.10.1117/1.1543564

KEYWORDS: Signal to noise ratio, Digital filtering, Image filtering, Bandpass filters, Electronic filtering, Optical filters, Edge detection, Detection and tracking algorithms, Gaussian filters, Optical engineering

SPIE Journal Paper | 1 January 2003

Partitioned computing architectures for image noise reduction

Ramakrishnan Sundaram

OE, Vol. 42, Issue 01, (January 2003) https://doi.org/10.1117/12.10.1117/1.1523053

KEYWORDS: Image restoration, Binary data, Computer architecture, Denoising, Chemical elements, Optical engineering, Neurons, Neural networks, Switching, Electromagnetism

Proceedings Article | 5 April 2002 Paper

Configuring artificial neural networks to implement function optimization

Ramakrishnan Sundaram

Proceedings Volume 4668, (2002) https://doi.org/10.1117/12.461679

KEYWORDS: Binary data, Image restoration, Artificial neural networks, Data processing, Inverse problems, Chemical elements, Electromagnetism, Point spread functions, Signal to noise ratio, Convolution

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Proceedings Article | 12 March 2002 Paper

Efficient implementations of edge localization algorithms

Ramakrishnan Sundaram

Proceedings Volume 4665, (2002) https://doi.org/10.1117/12.458777

KEYWORDS: Electronic filtering, Signal to noise ratio, Digital filtering, Image filtering, Bandpass filters, Edge detection, Linear filtering, Detection and tracking algorithms, Error analysis, Image processing

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Proceedings Article | 28 December 2000 Paper

Algorithms for efficient and accurate edge detection and localization

Ramakrishnan Sundaram

Proceedings Volume 4115, (2000) https://doi.org/10.1117/12.411597

KEYWORDS: Electronic filtering, Signal to noise ratio, Image filtering, Edge detection, Bandpass filters, Detection and tracking algorithms, Digital filtering, Linear filtering, Gaussian filters, Aluminium phosphide

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Proceedings Article | 17 November 2000 Paper

Recursive cellular networks for inverse problems

Ramakrishnan Sundaram

Proceedings Volume 4109, (2000) https://doi.org/10.1117/12.409208

KEYWORDS: Binary data, Image restoration, Convolution, Inverse problems, Data processing, Neurons, Chemical elements, Electromagnetism, Point spread functions, Signal to noise ratio

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Proceedings Article | 18 October 1999 Paper

Practical configurations to recover the regularized least-squares solution

Ramakrishnan Sundaram

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365855

KEYWORDS: Convolution, Image restoration, Algorithm development, Error analysis, Matrices, Ranging, Data processing, System identification, Digital image processing, Chemical elements

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Proceedings Article | 1 October 1998 Paper

Generalized adaptive strategies for edge detection in digital imagery

Ramakrishnan Sundaram

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323169

KEYWORDS: Electronic filtering, Digital filtering, Edge detection, Image filtering, Optical filters, Gaussian filters, Signal to noise ratio, Bandpass filters, Image processing, Algorithm development

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Proceedings Article | 6 July 1998 Paper

Adaptive filters for transform domain edge detection

Ramakrishnan Sundaram

Proceedings Volume 3387, (1998) https://doi.org/10.1117/12.316405

KEYWORDS: Electronic filtering, Digital filtering, Edge detection, Image filtering, Bandpass filters, Optical filters, Gaussian filters, Image processing, Evolutionary algorithms, Linear filtering

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SPIE Journal Paper | 1 April 1998

Efficient retrieval of the regularized least squares solution

Ramakrishnan Sundaram

OE, Vol. 37, Issue 04, (April 1998) https://doi.org/10.1117/12.10.1117/1.601965

KEYWORDS: Image restoration, Convolution, Matrices, Optical engineering, Algorithm development, Error analysis, Deconvolution, Aerospace engineering, Data processing, System identification

Proceedings Article | 24 October 1997 Paper

Regularized image restoration using sequential and parallel architectures

Ramakrishnan Sundaram

Proceedings Volume 3162, (1997) https://doi.org/10.1117/12.279492

KEYWORDS: Binary data, Image restoration, Neurons, Switching, Data processing, Image processing, Chemical elements, Radon, Neodymium, Electro optics

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SPIE Journal Paper | 1 August 1996

Partitioning of Hopfield networks and its application to image restoration

Ramakrishnan Sundaram, Okan Ersoy

OE, Vol. 35, Issue 08, (August 1996) https://doi.org/10.1117/12.10.1117/1.600803

KEYWORDS: Image restoration, Neurons, Optical engineering, Chemical elements, Filtering (signal processing), Binary data, Error analysis, Medical imaging, Image processing, Switching

SPIE Journal Paper | 1 November 1995

Adaptive approach to edge detection

Ramakrishnan Sundaram, Okan Ersoy, David Hansen

OE, Vol. 34, Issue 11, (November 1995) https://doi.org/10.1117/12.10.1117/12.212895

KEYWORDS: Edge detection, Bandpass filters, Linear filtering, 3D image processing, Electronic filtering, Image filtering, Digital filtering, Gaussian filters, Algorithm development, Magnetic resonance imaging

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Showing 5 of 23 publications

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