Signals, Images, ..., What's Next in Scientific Visualization

S. Allen Broughton

Abstract

   "A picture is worth a thousand words." That is the principle that scientists have been using for centuries to convey information about scientific concepts, data, and models. With the availability of cheap computers and the ability to gather enormous amounts of data about scientific objects of study, scientists today have very effective tools to help them in their quest for knowledge. Indeed, the computer has become a laboratory itself as theories are tested by computer simulation.  This blessing poses its own challenges. The enormous amounts of data require increasingly sophisticated tools to analyze, refine and understand this data. The disciplines of computer science, mathematics, electrical engineering and optics, as well as practitioners from other sciences have all contributed to this understanding, resulting in an emerging discipline of Imaging Science.  In this talk we will explore this area, mostly through examples.  The talk is intended for a general audience.

Lecture

Answer to questions after the lecture

Scripts

Most of the scripts use the MATLAB image processing toolbox and the some use the wavelet tool box.

References and Links

  1. Caltech geometric modeling group
  2. C. Brislawn's publications web page (fingerprint compression)
  3. An Imaging Science Conference
  4. Transform Methods in Image Processing, Mathematics Faculty Seminar, Mount Holyoke College, Spring 2001

Email:  allen.broughton@rose-hulman.edu
Webpage:  http://www.rose-hulman.edu/~brought/
This page last updated on 7 May 01.