Edge Detection Project Uploaded
Another project that I did last semester was an investigation of six different edge detectors to determine which ones performed better on different images and if there was any way to come up with a generalized scheme of determining which edge detector to apply to a given image depending on certain traits of the image (such as brightness, intensity contrast, color contrast, etc.). This project was done with a partner, Mr. Dave Stears.
The edge detectors considered were:
The edge detectors considered were:
- The Classical Canny Edge Detector
- A Canny Edge Detector applied to the three color channels rather than simply the intensity.
- The Marr-Hildreth Edge Detector (I lost the code for this one, but you should be able to re-implement it very easily from the description)
- A edge detection routine based on boolean images and boolean functions
- A Distance and Vector Angle Edge Detector designed specifically for color channel processing
- An edge detector based on determining depth discontinuities from multiple images taken with different flashes.

