Connecting School Students with Mathematics through
Applications in Digital Image Processing
Digital Image Processing Labs

Welcome to the online companion page for Connecting School Students with Mathematics through Applications in Digital Image Processing. In the article, we address important goal for mathematics educators is to help students connect school mathematics with their lives and experiences. In particular, we present four activities that capitalize on digital image processing as a context for students to explore unique and interesting applications of mathematics and to develop knowledge about and positive attitudes toward mathematics.

From this page, you can access both the blackline masters for the laboratory activities and the java-based web applets that allow students to explore the matheamtics behind digital image processing.

If you have any questions about the activities or labs, please contact one of the authors:

• Dr. Jason Silverman, Associate Professor of Mathematics Education
  (Email Jason)
• Dr. Gail Rosen, Assistant Professor of Electrical and Computer Engineering
  (gailr@ece.drexel.edu)

Lab #1: Introduction to Image Processing

• Lab#1 Activities (.pdf)
• Lab#1 Activities (.docx)
• Lab #1 Tinting Applet: http://dk12.ece.drexel.edu/image_guis/Tinting.html

Lab #2: Denoising Images

• Lab #2 Activities (.pdf)
• Lab #2 Activities (.docx)
• Lab #2 Noise Applet: http://dk12.ece.drexel.edu/image_guis/Noise.html

Lab #3: Transformations

• Lab #3 Activities (.pdf)
• Lab #3 Activities (.docx)
• Lab #3 Transformation Applet: http://dk12.ece.drexel.edu/image_guis/Transformation.html

Lab #4: Edge Detection

• Lab #4 Activities (.pdf)
• Lab #4 Activities (.docx)
• Lab #4 Edge Detection Applet: http://dk12.ece.drexel.edu/image_guis/EdgeDetect.html