Automatic Graph-Based Local Edge Detection

2015 ◽  
pp. 397-409
Author(s):  
Jagoda Lazarek ◽  
Piotr S. Szczepaniak
Keyword(s):  
Edge Detection ◽  
Local Edge ◽  
Local Edge Detection

Using Local Edge Pattern Descriptors for Edge Detection

2017 ◽  
Vol 32 (03) ◽  
pp. 1850006 ◽  
Author(s):  
Yu Wang ◽  
Na Zhang ◽  
Huaixin Yan ◽  
Min Zuo ◽  
Cuiling Liu
Keyword(s):  
Edge Detection ◽  
Vital Role ◽  
Detection Methods ◽  
Weighted Fusion ◽  
Edge Strength ◽  
Detection Approach ◽  
Segmentation Pattern ◽  
Edge Detection Method ◽  
Local Edge ◽  
Edge Pattern

Edge detection is an active and critical topic in the field of image processing, and plays a vital role for some important applications such as image segmentation, pattern classification, object tracking, etc. In this paper, an edge detection approach is proposed using local edge pattern descriptor which possesses multiscale and multiresolution property, and is named varied local edge pattern (VLEP) descriptor. This method contains the following steps: firstly, Gaussian filter is used to smooth the original image. Secondly, the edge strength values, which are used to calculate the edge gradient values and can be obtained by one or more groups of VLEPs. Then, weighted fusion idea is considered when multiple groups of VLEP descriptors are used. Finally, the appropriate threshold is set to perform binarization processing on the gradient version of the image. Experimental results show that the proposed edge detection method achieved better performance than other state-of-the-art edge detection methods.

An Adaptive Edge Detection Method Based on Local Edge Feature Descriptor

2020 ◽  
Vol 47 (6) ◽  
pp. 0604003
Author(s):  
高佳月 Gao Jiayue ◽  
许宏丽 Xu Hongli ◽  
邵凯亮 Shao Kailiang ◽  
尹辉 Yin Hui
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Feature Descriptor ◽  
Edge Detection Method ◽  
Local Edge ◽  
Edge Feature
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