Distributed edge detection algorithm based on wavelet transform for wireless video sensor network

2010 ◽  
Author(s):  
Qiulin Li ◽  
Qun Hao ◽  
Yong Song ◽  
Dongsheng Wang
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Sensor Network ◽  
Detection Algorithm ◽  
Wireless Video ◽  
Edge Detection Algorithm ◽  
Video Sensor

Coal Gangue Image Edge Detection Based on Wavelet Transform

2012 ◽  
Vol 214 ◽  
pp. 375-380 ◽  
Author(s):  
Tie Yun Li
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Detection Algorithm ◽  
Coal Gangue ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Image Edge

An edge detection algorithm is developed for coal gangue images, and the method has two advantages compared with traditional ones. Firstly, multi-resolution analysis of wavelet transform can improve the quality of edge detection. Secondly, the algorithm is faster for real time. Since the threshold directly from the coefficients of wavelet transform, the rate of recognition for coal gangue is highly raised. The experiment results show that the method is an efficient edge detection algorithm for extraction edges from the noised images of coal gangues.

A WT-Based Edge Detection with Adaptive Threshold

2011 ◽  
Vol 204-210 ◽  
pp. 1386-1389
Author(s):  
Deng Yin Zhang ◽  
Li Xiao ◽  
Shun Rong Bo
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Threshold Value ◽  
Detection Algorithm ◽  
Adaptive Threshold ◽  
Value Iteration ◽  
Edge Detection Algorithm ◽  
Detection Algorithms ◽  
Image Edge ◽  
Threshold Setting

The existing edge detection algorithms with wavelet transform need to artificially set the threshold value and are lack of flexibility.To salve the limitations, in this paper, we propose a WT(wavelet transform)-based edge detection algorithm with adaptive threshold, which uses threshold value iteration method to achieve adaptive threshold setting. Comparison of experiment results for the CT image shows that the method which improve the clarity and continuity of the image edge can effectively distinguish edge and noise, and get more completely information of the edge. It has good application value in the fields of medical clinical diagnosis and image processing.

Sub pixel Edge Detection Algorithm Based on Improved Wavelet Transform and Zernike Moments

2015 ◽  
Vol 22 (9) ◽  
pp. 50-54 ◽  
Author(s):  
文 涛 WEN Tao ◽  
左东广 ZUO Dong guang ◽  
李站良 LI Zhan liang ◽  
卫宾华 WEI Bin hua
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Detection Algorithm ◽  
Zernike Moments ◽  
Edge Detection Algorithm

A New Edge Detection Algorithm Applied in Obstacle Identification of Unmanned Vehicle

2014 ◽  
Vol 635-637 ◽  
pp. 981-984
Author(s):  
Hai Long Huang ◽  
Jie Guo ◽  
Zhong Yi Zhao
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
Operation Time ◽  
Detection Algorithm ◽  
Two Dimensional ◽  
Basic Step ◽  
Edge Detection Algorithm ◽  
Unmanned Vehicle ◽  
Edge Location ◽  
Video Sensor

Obstacle identification is one of the critical technologies of unmanned vehicle, edge detection is the basic step of obstacle identification based on video sensor and the magnitude guarantee of identification effect. In order to meet the demand of accuracy, real-time and stability of obstacle identification, a new multiple order morphology edge detection algorithm is proposed. We adopt two-dimensional histogram oblique segmentation to locate edge, then detected edge by improving the existing mathematical morphology edge detection operators and using appropriate structuring elements and percentile. Experimental results showed the edge detected is exquisite, continuous and intact. The algorithm possesses good robustness for different noised images, cuts operation time by nearly half compared with algorithm without edge location, then makes a good foundation for subsequent processing of obstacle identification.

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