ECE 563 Assignment 1

Read chapters 1 and 2 of the textbook. Images for this assignment may be downloaded from impro1.zip.

Submit your work through WebCT.

  1. Create a personal ECE563 home page. This page should include a picture of yourself, a brief vita, and images from your home or previous schools. The page should include examples of images which are (1) thumbnail images hyperlinked to larger versions and (2) reduced-size images using WIDTH and HEIGHT attributes to the image tag. The page should include both GIF and JPG image types.

  2. Do the following web studies:
    1. Locate the web site of a manufacturer of image processing equipment. Reference the site in your report.
    2. Locate a web site describing an application of image processing, and reference it in your report.
    3. Locate a web site from another University offering a image processing course, and reference the course web page in your report.
    4. Download a sample satelite image and display it in a web page. Be sure to include descriptive information and a reference. See munich as an example format.

  3. Use the pixval command in Matlab to determine the image resolution (pixels per inch) of xruler.tif as accurately as possible. The image below is a reduced version of xruler.tif.

Divide these problems among the members of your group.

  1. If you have access to a digital camera, take pictures illustrating bright colors, texture, repeating spatial structures (like picket fences), and perspective effects.

  2. Do problems 2.5, 2.9, and 2.10 from the textbook.

  3. Do problem 2.20 from the textbook.

  4. Scan a ruler (or photograph one with a digital camera). Note the resolution used for the scan. Measure the actual resolution of your scanner. It should correspond closely with the requested resolution.

  5. Run the image file information function imfinfo from Matlab on a TIF image and a JPEG image file. Discuss the types of information provided by these functions

  6. Find the resolution (meters per pixel) and linear field-of-view of the urban image cup_chip.tif (shown below) using features with well-known dimensions.

  7. Generate a noise image of random values taken from a uniform probability distribution for pixel values between 0 and 1. The image should be 128 x 128. Show a histogram of this image.

Maintained by John Loomis, last updated 4 Jan 2006