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.

Adaptive edge detection method for images

2008 ◽  
Vol 16 (1) ◽  
Author(s):  
A. Walczak ◽  
L. Puzio
Keyword(s):  
Edge Detection ◽  
Extraction Method ◽  
Detection Method ◽  
Polar Coordinate System ◽  
The Novel ◽  
Edge Extraction ◽  
Anisotropic Property ◽  
Multi Scale ◽  
Polar Coordinate ◽  
Edge Detection Method

AbstractThe novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.

Leaf Vein Extract Frame Based on Mathematical Morphology

2015 ◽  
Vol 719-720 ◽  
pp. 1043-1048 ◽  
Author(s):  
Li Jia Wang ◽  
Ai Ling He ◽  
Jing Xin Guo ◽  
Hong Jun Li
Keyword(s):  
Information Processing ◽  
Edge Detection ◽  
Mathematical Morphology ◽  
Extraction Method ◽  
The Other ◽  
Scale Morphology ◽  
Gray Scale ◽  
Image Information ◽  
Leaf Vein ◽  
Union Operation

In this paper, we present a leaf vein extracting algorithm frame which deals with contour and interior vein by employing different methods. The interior vein extraction method based on gray scale processing, mathematical morphology and processing in details is presented. We apply gray-scale morphology to process the image and extract the vein information. Through the analysis of the image information, processing in details is adopted to clear the information on the other tissues and insignificant veins. The extracted significant interior vein is overlaid with the leaf contour extracted through edge detection by pixel union operation. Experiment results show the effectiveness of the proposed method.

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.

A Self-Adaptive Edge Detection Approach by Improved Isotropic Sobel and OTSU

2013 ◽  
Vol 385-386 ◽  
pp. 1495-1499 ◽  
Author(s):  
Ji Peng Huang ◽  
Shuang Qiao
Keyword(s):  
Edge Detection ◽  
High Precision ◽  
Digital Image ◽  
Threshold Value ◽  
Simulation Experiments ◽  
Image Detection ◽  
Adaptive Approach ◽  
Detection Approach ◽  
Image Edge ◽  
Self Adaptive

This paper presents a self-adaptive approach to detect the edge of target in a digital image, and the proposed approach is based on eight-direction Isotropic Sobel and OTSU. Simulation experiments in matlab show that the approach can set the threshold value of an image automatically, has high precision in image detection, good connectivity, the uniform image edge magnitude for all directions and suppresses the noise well.

An Improved Approach of Color Edge Detection Based on Robustness of Cell Neural Network

2011 ◽  
Vol 403-408 ◽  
pp. 1879-1882
Author(s):  
Qing Ling Jiang
Keyword(s):  
Neural Network ◽  
Edge Detection ◽  
Color Image ◽  
Color Space ◽  
Robustness Analysis ◽  
Detection Algorithm ◽  
Edge Extraction ◽  
Image Edge Detection ◽  
Image Edge ◽  
Rgb Color Space

For the disadvantage of cell neural network (CNN) method which can not directly deal with color images, we present a new color image edge detection algorithm according to CNN model. Through robustness analysis for CNN template, a CNN theorem be carried out which can compute in the RGB color space. The experimental results show that our approach can effectively carry out edge extraction and locates accurately.

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