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BSc. Hon. Computer Science (Laurentian University), MSc. BioPhysics (University of Guelph), PhD. Candidate BioPhysics (University of Guelph)
Current:
- COSC 2831 Winter 2010: Click Here.
Previous:
- COSC 1046 (Introduction to Java Programming I) Summer 2009, Fall 2009
- COSC 1047 (Introduction to Java Programming II) Summer 2007-9
- COSC 2306 (The UNIX Operating System) Fall 2004-8
- COSC 2831 (Computer Software for the Sciences) Fall Winter 2009
- COSC 3706 (Directed Study: UNIX Software Development and Advanced Topics) Winter 2008
- COSC 3807 (Applied Networks) Fall 2005
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Real-time Image Processing Using Graphics Hardware: A Performance Study.
Abstract:Programmable graphics hardware have been provene to be a powerful resource for general computing. Previous research has shown that using a GPU for local image processing operations can be much faster than using the a CPU. The actually speedup obtained is influenced by many factors. In this paper, we quantify the performance gain that can be achieved by using the GPU for different image processing operations under different conditions. We also compare the strengths and weaknesses of two of the current leaders in mainstream GPUs - ATI's Radeon and nVidia's GeForce FX. Many interesting observations are obtained through the evaluation.
Full Citation: Minglun Gong, Aaron Langille, & Mingwei Gong. Real-time Image Processing Using Graphics Hardware: A Performance Study. International Conference on Image Analysis and Recognition (Toronto, ON, Canada). September 28-30, 2005.
An Efficient Match-based Duplication Detection Algorithm
Abstract:An efficient algorithm for detecting duplicate regions is
proposed in this paper. The basic idea is to segment the input image into blocks and search for blocks with similar intensity patterns using matching techniques. To improve the efficiency, the blocks are sorted based on the concept of k-dimensional tree. The sorting process groups blocks with similar patterns and hence the number of matching operations required for finding the duplicated blocks can be significantly reduced. The matching block detection results are encoded as a color image. This makes it possible to use a set of colour-based morphological operations to remove isolated mismatches, as well as to fill in missing matches. The experiments conducted show the effectiveness of the proposed algorithm.
Full Citation: Aaron Langille, Minglun Gong. An Efficient Match-based Duplication Detection Algorithm. Third Canadian Conference on Computer and Robot Vision (Quebec City, QC, Canada). June 7-9, 2006.
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- Computer-based Modelling of Ecological and Complex Systems
- Teaching Ecology Concepts Through Computer-based Models, Simulations and Games
- Image Processing
- Open Source Development
- Ethical Use of Computing Resources
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