A pre-conference tutorial is offerred at a
discounted rate for conference participants. The tutorial will only be
conducted subject to sufficient registration for the tutorial.
18th October 2015 (Sunday)
Instructor: Trity Technologies Sdn Bhd
Duration: One Day or approx. 6.0 contact hours
Presentation, Hands-on self-experience with guidance by the Facilitator(s).
Participants to bring own computer/laptop with Windows Operating System and sufficient hard
Hand-out materials for workshop/ information for further reading. Software installation will be assisted.
Scilab is a scientific software package for numerical computations providing a powerful open computing environment for engineering and scientific applications. Scilab is released as open source under the CeCILL license (GPL compatible), and is available for download free of charge. Scilab is available under GNU/Linux, Mac OS X and Windows XP/Vista/7/8. It is currently used in educational and industrial environments around the world. Scilab is the responsibility of the Scilab Consortium, launched in May 2003 and now by Scilab Enterprises since 2010. Scilab includes hundreds of mathematical functions with the possibility to add interactively programs from various languages (FORTRAN, C, C++, JAVA). It has sophisticated data structures (including lists, polynomials, rational functions, linear systems), an interpreter and a high level programming language.
As a subfield of digital signal processing, digital image processing has many advantages over analog image processing; it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing can be modeled in the form of Multidimensional Systems.
This is a hands-on workshop for participants with a platform to learn Scilab for Image Processing on concepts and techniques for digital image processing and the software principles used in their practical implementation. The material will be illustrated with numerous examples of practical significance.
Scilab for Image Processing
We will explore on the use of Scilab, particularly on vital features of Scilab in enabling users to us Scilab for image processing. This is very essential to new users who wants to make use of Scilab for Image Processing. Working with Source of Images, from Pictures, Video and Camera. We will work on images/data from various sources, from local disk, web cam or even from the cloud. Participants will be exposed to the acquisition and viewing of images with Scilab.
Image Processing Techniques with Scilab
This session will explore image processing techniques such as image enhancements (intensity adjustments, image corrections, cropping and resizing), filtering of images (spatial and frequency filters) all for participants to have self-experience and exploration. We will also provide demonstrations on more advance examples/applications in view of limited time available for the workshop.