Comparison of Edge Detection Technique in Image Processing Techniques
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| Author | Ireyuwa. E. Igbinosa |
| ISSN | 2306-708X |
| On Pages | 25-29 |
| Volume No. | 2 |
| Issue No. | 1 |
| Issue Date | April 01, 2013 |
| Publishing Date | April 01, 2013 |
| Keywords | Edge detectors, Image Processing, Pattern recognition, Object Recognition. |
Abstract
Edge detection refers to the process of identifying and locating sharp discontinuities in an image. The discontinuities are abrupt changes in pixel intensity scene. Traditional method of edge detection involves convolving the image with an operator (2-D filter) which is constructed to be sensitive to large gradients. Edge detectors form a collection of very important local image processing method to locate sharp changes in the intensity function. Edge detection is an important technique in many image processing applications such as object recognition, motion analysis, pattern recognition, medical image processing etc. This paper shows the comparison of edge detection techniques under different conditions showing advantages and disadvantages of the selected algorithms. This was done under Matlab. Further work would be to develop a novel algorithm using the working on the disadvantages and advantages of the existing one to create a novel edge detector.
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