D. Poobathy

Work place: Dr. Mahalingam Centre for Research and Development, NGM College, Pollachi, India

E-mail: poobathy.d@gmail.com


Research Interests: Data Structures and Algorithms, Data Mining, Image Processing, Image Manipulation, Image Compression


Poobathy has received a Bachelor degree and Master degree in Computer Applications from Bharathiar University, Coimbatore in 2010 and 2013 respectively. Mr. Poobathy is currently a Research Scholar at Department of Computer Science, NGM College, Pollachi, Tamil Nadu, India. He presented a Research Paper on International Conference. His research interests include Digital Image Processing, Data and Image Mining

Author Articles
Edge Detection Operators: Peak Signal to Noise Ratio Based Comparison

By D. Poobathy R. Manicka Chezian

DOI: https://doi.org/10.5815/ijigsp.2014.10.07, Pub. Date: 8 Sep. 2014

Edge detection is the vital task in digital image processing. It makes the image segmentation and pattern recognition more comfort. It also helps for object detection. There are many edge detectors available for pre-processing in computer vision. But, Canny, Sobel, Laplacian of Gaussian (LoG), Robert’s and Prewitt are most applied algorithms. This paper compares each of these operators by the manner of checking Peak signal to Noise Ratio (PSNR) and Mean Squared Error (MSE) of resultant image. It evaluates the performance of each algorithm with Matlab and Java. The set of four universally standardized test images are used for the experimentation. The PSNR and MSE results are numeric values, based on that, performance of algorithms identified. The time required for each algorithm to detect edges is also documented. After the Experimentation, Canny operator found as the best among others in edge detection accuracy.

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