Fourth-order B-spline wavelet multiscale local modulus maxima for edge detection in identification of pipeline fault

2009 ◽  
Author(s):  
Peixin Yuan ◽  
Jun Tan ◽  
Jiahui Cong
2014 ◽  
Vol 945-949 ◽  
pp. 1894-1898
Author(s):  
Li Hua Luan ◽  
Lian Jun Guo

The technique of wavelet transform is a good method for segmentation of complex image edge. This paper applied Two-B spline wavelet to identify the image edge and removed the false edges better. Based on edge detection,the system implemented the computing on rocks area and perimeter with Pixel statistics arithmetics.


2015 ◽  
Author(s):  
Shiqi Zhang ◽  
Mei Hui ◽  
Ming Liu ◽  
Zhu Zhao ◽  
Liquan Dong ◽  
...  

2013 ◽  
Vol 850-851 ◽  
pp. 897-900
Author(s):  
Fu Yan Wang ◽  
Min Chen ◽  
Qing Shui Fei

The improved method for image edge detection based on wavelet transform modulus maxima included following steps: wavelet transform was adopted to compute local modulus maximum of edge and noise. Based on the differences between wavelet transforms of edge and noise, the separation of noise and edge was achieved by detecting local modulus maximum with quadratic discriminate method. Simulation results indicate that the inconsistency between high precision localization and high denoising ability existing in traditional edge detection algorithm could be resolved by means of the algorithm.


2018 ◽  
Vol 13 (5) ◽  
pp. 553-563 ◽  
Author(s):  
Xiaolei Zhang ◽  
Guishan Zhang ◽  
Yangjiang Yu ◽  
Guocheng Pan ◽  
Haitao Deng ◽  
...  

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