Schmeelk, J. (2011, June), Edge Detectors in Image Processing  Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--17799

\bibitem{asee_peer_17799}
  Schmeelk, J. (2011, June), \emph{Edge Detectors in Image Processing}
  Paper presented at 2011 ASEE Annual Conference \& Exposition, Vancouver, BC.
  10.18260/1-2--17799

John Schmeelk.  "Edge Detectors in Image Processing".  2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011, June.  ASEE Conferences, 2011.  https://peer.asee.org/17799 Internet.  18 Apr, 2024

\bibitem{asee_peer_17799}
  John Schmeelk.
  "Edge Detectors in Image Processing".
  \emph{2011 ASEE Annual Conference \& Exposition, Vancouver, BC, 2011, June}.
  ASEE Conferences, 2011.
  https://peer.asee.org/17799 Internet.  18 Apr, 2024

@INPROCEEDINGS{asee_peer_17799
author = "John Schmeelk"
title = "Edge Detectors in Image Processing"
booktitle = "2011 ASEE Annual Conference \& Exposition"
year = "2011"
month = "June"
address = "Vancouver, BC"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/17799}
number = {10.18260/1-2--17799}
}

TY  - CPAPER
AB  -                       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.
AU  - John Schmeelk
CY  - Vancouver, BC
DA  - 2011/06/26
PB  - ASEE Conferences
TI  - Edge Detectors in Image Processing
UR  - https://peer.asee.org/17799
DO  - 10.18260/1-2--17799
ER  -