4802-4-1 Misc. Filtering

Weblinks gathered by Jesse Gilles

Summary

This lecture focused on the topics of noise reduction and edge detection.

Noise Reduction

Noise reduction is a type of filtering that can remove noise, such as "salt and pepper" distortions, from images. The following links provide information on noise reduction:

http://ise.stanford.edu/class/ee368/projects2000/project10/EE368.htm describes a project conducted comparing applications of different non-linear noise reduction techniques. [5]

http://www.controlzed.com/Articles/digitalimage/noise.html discusses median filtering, convolution filtering, recursive filtering, etc. [4]

http://www.geog.uvic.ca/geog322/htmls/spatial_filter.html discusses the basic concept of spatial filtering and gives examples of blurring (noise reduction), sharpening and some edge detection. [3]

http://www.fmrib.ox.ac.uk/~steve/susan/susan/node16.html provides LOTS of information on the SUSAN noise filtering algorithm. [5]

Edge Detection

Edge Detection is a type of filtering that emphasizes and defines the edges in images. The following links provide information on edge detection:

http://www.dai.ed.ac.uk/HIPR2/prewitt.htm provides information on the Prewitt operator. [5]

http://www.dai.ed.ac.uk/HIPR2/sobel.htm discusses the Sobel operator. [4]

http://www.dai.ed.ac.uk/HIPR2/roberts.htm discusses the Roberts Cross operator. [4]

http://robotics.stanford.edu/~ruzon/compass/index.html contains Edge, Corner, and Junction Detection with the Generalized Compass Operator by Mark A. Ruzon. [4]

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