Comparative Analysis of Canny and Prewitt Edge Detection Techniques used in Image Processing
Citation
Nisha, Rajesh Mehra, Lalita Sharma"Comparative Analysis of Canny and Prewitt Edge Detection Techniques used in Image Processing", International Journal of Engineering Trends and Technology (IJETT), V28(1),48-53 October 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
An edge may be defined as the curve that
follows a path of rapid change in image intensity and
it forms a boundary between two different regions in
an image. Edge detection plays an important role in
digital image processing and is used for image
segmentation, data extraction, data compression. In
this paper, two edge detection algorithms namely
canny edge detection and prewitt edge detection
techniques are used to extract edges from different
images. Performance factors are analyzed in terms of
processing time and accuracy on the basis of Peak
signal to Noise Ratio (PSNR) and Mean Squared
Error (MSE). MATLAB is used for edge detection.
From the experimental results, it is observed that
canny edge detection technique results better than
prewitt edge detection technique.
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Keywords
Canny edge detection technique, Edge
detection, Image processing, MSE, Prewitt edge
detection technique, PSNR.