In this work, we propose a new edge detection scheme which is called the decision based directional edge detector (DBDED). Also a modification of Cheng's shrinking algorithm is developed for producing one point ed...
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In this work, we propose a new edge detection scheme which is called the decision based directional edge detector (DBDED). Also a modification of Cheng's shrinking algorithm is developed for producing one point edge segments. The methodology of the proposed edge detection algorithm is described in the following manner. In each of eight discrete directions, every point is analyzed in order to decide whether it is a one-dimensional (l-D) edge point in the given direction. This analysis is performed adaptively by using the calculated local directional standard deviation, local directional averages and a constant threshold. In order to prevent multiple edges, the pixels which are locally dominant in intensity are considered to be edge candidates. The true edge pixels are decided upon by eliminating some of the false edge candidates using a decision-based algorithm. It has been shown by extensive simulation work that the DBDED has satisfactory results in some preselected requirements compared with other well-known edge detection methods in the literature.
A syntactic pattern recognition system is evaluated for applications to radar signal identification. Three different level-crossing-based pattern representation algorithms are considered. The utility of the resulting ...
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A syntactic pattern recognition system is evaluated for applications to radar signal identification. Three different level-crossing-based pattern representation algorithms are considered. The utility of the resulting symbolic pattern representations is assessed by evaluating the performance of a maximum-likelihood classifier when the observed symbol strings are used as inputs to the decision algorithm. A syntax analysis algorithm is derived from the likelihood function classifier. Performance results of simulated classification experiments for both maximum-likelihood and language-theoretic classifiers are presented.
The current and future generation of pacemakers present a bewildering array of options for the implanting physician. The current economical and legal climate makes it imperative that the appropriate pacemaker is chose...
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A complete quadratic Volterra filter working under the control of a decision algorithm is proposed for image restoration and enhancement. A particular application in the enhancement of images having reduced luminance ...
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A complete quadratic Volterra filter working under the control of a decision algorithm is proposed for image restoration and enhancement. A particular application in the enhancement of images having reduced luminance dynamics is considered.
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