Title :
An efficient method to evaluate the performance of edge detection techniques by a two-dimensional Semi-Markov model
Author :
Dubinin, Dmitry ; Geringer, Viktor ; Kochegurov, Alexander ; Reif, Konrad
Author_Institution :
Dept. of Radioelectron. & Data Protection, Tomsk State Univ. of Control Syst. & Radioelectron., Tomsk, Russia
Abstract :
The essay outlines one particular possibility of efficient evaluating the Performance of edge detector algorithms. Three generally known and published algorithms (Canny, Marr, Shen) were analysed by way of example. The analysis is based on two-dimensional signals created by means of two-dimensional Semi-Markov Model and subsequently provided with an additive Gaussian noise component. Five quality metrics allow an objective comparison of the algorithms.
Keywords :
AWGN; Markov processes; edge detection; Canny algorithm; Marr algorithm; Shen algorithm; additive Gaussian noise component; edge detection techniques; edge detector algorithms; performance evaluation; quality metrics; two-dimensional semiMarkov model; two-dimensional signal analysis; Algorithm design and analysis; Computational modeling; Correlation; Image edge detection; Measurement; Noise; Vectors; Stochastic computer simulation; comparison of algorithms; edge detection; performance evaluation; two-dimensional Semi-Markov Model; two-dimensional renewal stream;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CICA.2014.7013248
