An efficient Method to Evaluate the Performance of Edge Detection Techniques by a two-dimensional Semi-Markov Model

被引：0

作者：

Dubinin, Dmitry ^{[1
]}

Geringer, Viktor ^{[2
]}

Kochegurov, Alexander ^{[3
]}

Reif, Konrad ^{[2
]}

机构：

[1] Tomsk State Univ Control Syst & Radioelect, Dept Radioelect & Data Protect, TUSUR, Tomsk, Russia

[2] Baden Wuerttemberg Cooperat State Univ, Dept Engn, DHBW Ravensburg, Friedrichshafen, Germany

[3] Natl Res Tomsk Polytech Univ, TPU, Inst Cybernet, Tomsk, Russia

来源：

2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN CONTROL AND AUTOMATION (CICA) | 2014年

关键词：

Stochastic computer simulation; two-dimensional Semi-Markov Model; two-dimensional renewal stream; edge detection; performance evaluation; comparison of algorithms;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：169 / 175

页数：7