The redundant lifting scheme is a perfect tool for wavelet decomposition and reconstruction conducted in the time domain without decimation procedure. In this paper based on the redundant haar lifting wavelet analysis...
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The redundant lifting scheme is a perfect tool for wavelet decomposition and reconstruction conducted in the time domain without decimation procedure. In this paper based on the redundant haar lifting wavelet analysis and time domain reflectometry (RHLW-TDR) a novel fault detection scheme is introduced to detect the fault of the telephone transmission lines. The fault time tags are extracted directly from the wavelet detail coefficients. Furthermore, the proposed algorithm is improved to adaptivemorphological redundant haar lifting wavelet analysis based time domain reflectometry (AMRHLW-TDR). Comparing to the conventional wavelet based TDR technique, the simulation test and practical experiment results verified the accuracy and convenience enhancement of the proposed methodology and its improved version. (C) 2014 Elsevier Ltd. All rights reserved.
This paper describes a new adaptivealgorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjust...
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ISBN:
(纸本)078038248X
This paper describes a new adaptivealgorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.
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