A Method of the Image Edge Extraction Based on Wavelet Denoising

2008 ◽  
Author(s):  
Yujie Hao ◽  
Jianping Li ◽  
Xuefeng Zhao ◽  
Hui Liu ◽  
Ping Kuang
Keyword(s):  
Wavelet Denoising ◽  
Edge Extraction ◽  
Image Edge

Image Edge Extraction Based on SUSAN Operator

2014 ◽  
Vol 687-691 ◽  
pp. 3765-3768
Author(s):  
Nan Wang
Keyword(s):  
Edge Detection ◽  
High Precision ◽  
Extraction Method ◽  
The Other ◽  
Differential Detection ◽  
Edge Extraction ◽  
Image Edge ◽  
Circular Template

A new edge extraction method was put forward based on the SUSAN operator, according to the problems of poor anti-noise ability and edge detection incomplete of the conventional differential detection operator. The circular template and the center of the circle (template nuclear) were used in this method, the numbers of pixels was calculated through the comparison pixels value of template with the other points of pixels in the template circle, and then compared with the threshold, so as to the edge of images was extracted. The results showed that this method had high precision, and could be able to fully extract the edge of images. It is an effective method of extracting the edge of images.

scholarly journals Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Qifang Luo ◽  
Sen Zhang ◽  
Yongquan Zhou
Keyword(s):  
Lateral Inhibition ◽  
Template Matching ◽  
Search Algorithm ◽  
Inhibition Mechanism ◽  
Edge Extraction ◽  
Matching Problems ◽  
Matching Technique ◽  
Image Edge ◽  
Stochastic Fractal Search Algorithm ◽  
Stochastic Fractal Search

Template matching is a basic and crucial process for image processing. In this paper, a hybrid method of stochastic fractal search (SFS) and lateral inhibition (LI) is proposed to solve complicated template matching problems. The proposed template matching technique is called LI-SFS. SFS is a new metaheuristic algorithm inspired by random fractals. Furthermore, lateral inhibition mechanism has been verified to have good effects on image edge extraction and image enhancement. In this work, lateral inhibition is employed for image preprocessing. LI-SFS takes both the advantages of SFS and lateral inhibition which leads to better performance. Our simulation results show that LI-SFS is more effective and robust for this template matching mission than other algorithms based on LI.

Image Denoising Algorithm Based on Dyadic Contourlet Transform

2010 ◽  
Vol 40-41 ◽  
pp. 591-597 ◽  
Author(s):  
Fan Hui ◽  
Yong Liang Wang ◽  
Jin Jiang Li
Keyword(s):  
Image Denoising ◽  
Wavelet Denoising ◽  
Experimental Results ◽  
Contourlet Transform ◽  
Visual Images ◽  
Translation Invariance ◽  
Noise Interference ◽  
Filter Group ◽  
Image Edge ◽  
Adaptive Denoising

This paper constructs a dyadic non-subsampled Contourlet transform for denoising on the image, the transformation has more directional subband, using the non-subsampled filter group for decompositing of direction, so has the translation invariance, eliminated image distortion from Contourlet transform’s lack of translation invariance. Non-subsampled filter reduces noise interference and data redundancy. Using the feature of NSCT translation invariance, multiresolution, multi-direction, and can according to the energy of NSCT in all directions and in all scale, adaptive denoising threshold. Experimental results show that compared to wavelet denoising and traditional Contourlet denoising, the method achieves a higher PSNR value, while preserving image edge details, can effectively reduce the Gibbs distortion, improve visual images.

Design of Soil-Granularity Analysis System Based on MATLAB

2015 ◽  
Vol 740 ◽  
pp. 722-726 ◽  
Author(s):  
Jian Lin Rao ◽  
Jian Shu Hou ◽  
Hao Chen ◽  
Hai Hua Li ◽  
Xue Yi Wan ◽  
...  
Keyword(s):  
Image Processing ◽  
Grain Size ◽  
Extraction Method ◽  
Detection Method ◽  
Region Of Interest ◽  
Edge Extraction ◽  
New Type ◽  
Image Edge ◽  
Analysis System ◽  
Soil Grain Size

The system in the paper based on Matlab platform. With the aid of image processing toolbox of soil image analysis and processing, the soil grain size distribution and its inclination angle can be got. It overcomes the insufficiency of the existing image edge extraction method, and proposes a new type of detection method, in order that the region of interest can be more accurately extract. The system is helpful to predict the possibility of the regional landslides.

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