A Novel Method of Image Quality Assessment
p.5064
p.5064
Simulation Method of the Zero-Range Target Echo Delay for Pulse Radar Target Simulator
p.5068
p.5068
Fault Analysis of Communication Network Based on Combined Rules of Fault-Tree and Code Book
p.5072
p.5072
A Method for UAV’s Images Seamless Stitching
p.5076
p.5076
Extraction of Image with Complex Noise Based on Wavelet Analysis and Morphology
p.5081
p.5081
Fast and Robust Personal Identification by Fusion of Finger Vein and Finger-Knuckle-Print Images
p.5085
p.5085
Wideband Signal Detection in Deep Space Communication
p.5089
p.5089
Software Demodulation Method of PCM/FM Signal Based on the Maximum Likelihood Estimation
p.5093
p.5093
Implementation of Multi-Vehicle Terminals' Data Transmission Based on HTTP Communication Protocol
p.5098
p.5098
Extraction of Image with Complex Noise Based on Wavelet Analysis and Morphology
Abstract:
The spatial filter and wavelet filter were used to denoise the image with much complex noise. The mathematical morphology and threshold segmentation were integrated to detect the image edge. Based on comparison between the method given in this paper and the traditional methods, the new method can result in satisfying image processing result. The detecting precision is high. Also, the noise resistance is very good. The detected edge outlines are continuous, smooth and integrated. Moreover, the operation time is less.
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Info:
Periodical:
Applied Mechanics and Materials (Volumes 556-562)
Pages:
5081-5084
Citation:
Online since:
May 2014
Authors:
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