Mayuresh
Kulkarni (मयुरेश
कुलकर्णी)
Department of Electrical Engineering, University of
Cape Town.
Supervisor : Dr. Fred Nicolls
Email
address :
mayuresh.kulkarni@uct.ac.za,
mayuresh87@gmail.com
Physical
address :
Room 616, Menzies Building,
Digital Image Processing Group,
University of Cape Town,
Rondebosch, 7701.
South Africa.
Research
Interests:
Research
Interests
Digital image processing, medical imaging, 3D reconstruction, image
segmentation, multivariate statistical modelling. Other interests
include database management and web design.
PhD
Research - Monte-Carlo simulation of slot-scanning X-ray imaging systems (2011-2014)
Simulation of slot-scanning X-ray imaging systems, full-body X-ray systems, mammography and tomosynthesis systems. The simulation tool uses the Monte-Carlo implementation PENELOPE to simulate the X-ray photon transportation problem. Modulation Transfer Function (MTF), Noise Power Spectrum (NPS) and Detective Quantum Efficiency (DQE) are used to validate the simulations. Tomosynthesis is simulation using angular intervals, angular range and number of projections and their effect on the resulting reconstructions is studied. Filtered backprojection is used to reconstruct the 2D X-ray projections. (PhD Thesis [pdf])
Masters
Research - Image
segmentation using Graph cuts (2009-2010)
My current research involves interactive image segmentation using graph
cuts. The image is viewed as a graph with the pixels, or group of
pixels, as nodes and the connections between them as edges. Min-cuts is
used to segment each pixel into foreground or background. Various ways
of setting up the edge weights is studied and the performance is
evaluated using precision-recall curves and F-score. (Masters Thesis [pdf])
Undergraduate
Thesis - X-ray Image
Segmentation using ASMs (July-November 2008)
Investigated the performance of various image processing techniques on
X-ray images. Studied Active Shape Models (ASMs) and applied them to
segment bone from X-ray images. The algorithms implemented take user
input in the form of training X-ray images and then tracks the shape in
a test image. The performance of the algorithm, with varying the input
parameters, was evaluated. The project involved writing a thesis paper
and presenting it to a panel of experts.
(Undergraduate Thesis [pdf]
and [presentation])
Publications:
M. Kulkarni and F. Nicolls. "Graph cuts with shape priors for segmentation". Twenty-first Annual Symposium of the Pattern Recognition
Association of South Africa (PRASA2010), Stellenbosch,
South Africa, 2010. [paper]
M. Kulkarni and F. Nicolls. "Interactive Image Segmentation using Graph
Cuts". Twentieth Annual Symposium of the Pattern Recognition
Association of South Africa (PRASA2009), Stellenbosch,
South Africa, 2009. [paper]
[presentation]
Last Modified -- Mayuresh Kulkarni (January 2015)