|
2009 Annual General Meeting (AGM) |
|
|
|
|
Tuesday, 11 August 2009 |
The 2009 Annual General Meeting (AGM) will be held in the evening of 19 August (Wednesday) at Singapore Polytechnic Graduates' Guild, 1010 Dover Road, Singapore 139658 (Singapore Poly Gate No 4). We have prepared a rich program for the night. As in our past AGMs, we will have a pre-AGM talk on advanced Hough transform to be given by A/Prof. Shi Daming. Hough transform is a common method for the detection of simple objects such as lines and circles in digital images. Members are invited to a dinner before the talk.
The full program for that night is as follows:
6:30 pm - 7:00 pm Registration
7:00 pm - 8:30 pm Dinner begins
7:30 pm - 8:15 pm "Advanced Hough Transform Using A Multilayer Fractional Fourier Method" by A/Prof. Shi Daming
AGM Agenda:
Confirmation of Minutes of AGM 2008
President's Report
Treasurer's Report
Confirmation of Auditors 2008/2010
Any Other Business
The Singapore Polytechnic Graduates' Guild ( http://www.spgg.org.sg/ ) is located within Singapore Polytechnic itself. It is accessible through Gate 4 and is also within walking distance from Dover MRT station. More details can be found in http://www.spgg.org.sg/index.php?option=com_content&task=view&id=7&Itemid=14
For catering purposes, please register at PREMIA website (www.premia-sg.org)-> Events and Activities or register directly at http://www.premia-sg.org/index.php?option=com_events&event_id=28&task=register as soon as possible. Further details of the talk is appended below.
Title: Advanced Hough Transform Using A Multilayer Fractional Fourier Method
Abstract: The Hough transform (HT) is a commonly used technique for the identification of straight lines in an image. The Hough transform can be equivalently computed using the Radon transform (RT), by performing line detection in the frequency domain through use of central-slice theorem. In this research, an advanced Radon transform is developed using a multilayer fractional Fourier transform, a Cartesian-to-polar mapping, and an inverse 1D Fourier transform, followed by peak detection in the sinogram. The multilayer fractional Fourier transform achieves a more accurate sampling in the frequency domain, and requires no zero padding at the stage of Cartesian-to-polar coordinate mapping. Our experiments were conducted on mix-shape images, noisy images, mixed-thickness lines, and natural images. The experimental results have shown that our proposed method outperforms all known representative line detection methods based on the standard Hough transform or the Fourier transform.
|
