Adaptive Edge Detection Algorithm Based on Grey Entropy Theory and Textural Features

Adaptive Edge Detection Algorithm Based on Grey Entropy Theory and Textural Features

The traditional edge detection method is altogether inaccurate, nonadaptive, and particularly ineffective on noisy images. This paper proposes a novel edge detection algorithm based on gray entropy theory and local texture features. In the 3×3 neighborhood window, 28 comparison sequences...

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Bibliographic Details
Main Authors: Zhen Zheng, Bingting Zha, Youshi Xuchen, Hailu Yuan, Yanliang Gao, He Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Image processing
image edge detection
gray relation analysis
gray entropy theory
textural feature analysis
Online Access:https://ieeexplore.ieee.org/document/8758200/

Internet

https://ieeexplore.ieee.org/document/8758200/

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