scholarly journals Road crack edge detection based on wavelet transform

2019 ◽  
Vol 237 ◽  
pp. 032132 ◽  
Author(s):  
Xiaoliang Zhou ◽  
Lamei Xu ◽  
Jing Wang
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Crack Edge

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.

Block Chain Based Robust Image Watermarking Using Edge Detection And Wavelet Transform

2021 ◽  
Author(s):  
Praveen Kumar Mannepalli ◽  
Vineet Richhariya ◽  
Susheel Kumar Gupta ◽  
Piyush Kumar Shukla ◽  
Pushan Kumar Dutta
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Image Watermarking ◽  
Discrete Wavelet ◽  
Imaging Data ◽  
Watermark Embedding ◽  
Hash Algorithm ◽  
Image Protection ◽  
Additional Level ◽  
The Invisible

Abstract Image protection is essential part of the scientific community today. The invisible watermark is widely being used in past to secure the medical imaging data from copyright protection. In this paper novel hybrid combination of the invisible image watermarking and the Blockchain based encryption is proposed to design. The watermarking is implemented using edge detection (ED) of discrete wavelet transform (DWT) coefficient. The medical image is decomposed using L level DWT transform to generate multi-resolution coefficients. The edge detection is applied to HH wavelet band to generate the edge coefficients. To improve robustness difference of dilation and edge coefficient are used for watermark embedding. The watermark image is encrypted using Blockchain based hash algorithm for medical images. Then at the decoding end first decryption is achieved and then image is reconstructed. The results are sequentially presented for both stages. The PSNR performance is compared with additional level of security.

Edge Detection of Laser Imaging Radar Based on Wavelet Transform and Mathematical Morphology

2008 ◽  
Vol 35 (6) ◽  
pp. 903-906 ◽  
Author(s):  
王海虹 Wang Haihong ◽  
曾妮 Zeng Ni ◽  
陆威 Lu Wei ◽  
王骐 Wang Qi
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Mathematical Morphology ◽  
Laser Imaging ◽  
Imaging Radar
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