June 26, 2011
June 26, 2011
June 29, 2011
22.518.1 - 22.518.12
Edge Detectors in Image Processing John Schmeelk Virginia Commonwealth University/Qatar Doha, QatarAbstract Image edge detection is an integral component of image processing to enhance theclarity of edges and the type of edges. A previous paper15 began to discuss the issues regardingedge techniques. A brief summary of the mathematics included in the previous paper will beincluded in the paper. This paper provides a deeper analysis regarding image edge detectionusing matrices, partial derivatives, convolutions and the software’s, MATLAB 7.9.0 and theMATLAB Image Processing Toolbox 6.4. The previous paper 15 studied alphabets usingvertical, horizontal and Sobel transforms. This paper will study images to include the alphabet Oand two images, Cameraman and Rice included in the Image Processing Toolbox 6.4. We thencompare the techniques implemented in the previous paper15 and the images, alphabet O,Cameraman and Rice using vertical, horizontal, Sobel, and Canny transforms implementing thesoftware’s MATLAB 7.9.0 and the Image Processing Toolbox 6.4. The softwareimplementation in this presentation should be of interest to engineering students using MATLABproducts.
Schmeelk, J. (2011, June), Edge Detectors in Image Processing Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--17799
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2011 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015