An Edge Detection Algorithm Based on Edge-Preserving

The traditional first-order differential operator is under the influence of the Gaussian noise, therefore, it often implement boundary extraction after average filtering. But the filtering process would often smooth the details of some directions of image too much, so that the edge cannot be extract...

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Bibliographic Details
Published in:Key Engineering Materials 2016-05, Vol.693, p.1321-1325
Main Authors: Li, A., Tang, C.R.
Format: Article
Language:English
Subjects:
Algorithms
Boundaries
Edge detection
Filtering
Filtration
Noise
Operators
Online Access:Get full text
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Summary:The traditional first-order differential operator is under the influence of the Gaussian noise, therefore, it often implement boundary extraction after average filtering. But the filtering process would often smooth the details of some directions of image too much, so that the edge cannot be extracted correctly. To solve this problem, this paper puts forward the edge detection algorithm based on edges keep, to determine the keeping direction of the edge through matching different directions’ edge template. Instead of average filtering process, it can improve the performance of traditional operator, and provide the simulation results. Experimental results show that the algorithm can eliminate noise, and at the same time, keep more edge information of the image.
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.693.1321