scholarly journals Application of Wavelet Transform Method for Textile Material Feature Extraction

10.5772/38793 ◽  
2012 ◽  
Author(s):  
Lijing Wang ◽  
Zhongmin Deng ◽  
Xungai Wang
Keyword(s):  
Feature Extraction ◽  
Wavelet Transform ◽  
Textile Material ◽  
Transform Method ◽  
Material Feature

Demodulation of single interferograms using a sliding 2-D continuous wavelet transform method

2015 ◽  
Vol 62 (8) ◽  
pp. 633-637 ◽  
Author(s):  
Jésus Villa ◽  
Ismael de la Rosa ◽  
Rumen Ivanov ◽  
Daniel Alaniz ◽  
Efrén González
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Continuous Wavelet ◽  
Transform Method

Study of Segmentation Threshold Based on Wavelet Transform

2013 ◽  
Vol 756-759 ◽  
pp. 3855-3859
Author(s):  
Jian Yi Li ◽  
Hui Juan Wang
Keyword(s):  
Wavelet Transform ◽  
Digital Image ◽  
Region Growing ◽  
Detection Methods ◽  
Mathematical Tool ◽  
Matlab Simulation ◽  
Segmentation Method ◽  
Transform Method ◽  
Threshold Segmentation ◽  
Digital Image Enhancement

Based on the research of the four kinds of algorithms of digital image segmentation, based on edge detection methods, based on region growing method, threshold segmentation method and digital image threshold segmentation method based on wavelet transform, using MATLAB simulation of all digital image enhancement and segmentation process, the obtained results are analyzed, proving the threshold segmentation wavelet transform method has unparalleled advantages in information extraction in medical image. Wavelet transform is a mathematical tool widely used in recent years, compared with the Fu Liye transform, the window of Fu Liye transform, wavelet transform is the local transform of space and frequency, it can be very effective in extracting information from the signal [[1.

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