A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention

A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention

Edge detection, a cornerstone of computer vision, identifies intensity discontinuities in images, enabling applications from object recognition to autonomous navigation. This survey presents a mathematically grounded analysis of edge detection’s evolution, spanning traditional gradient-based methods...

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Bibliographic Details
Main Author: Gang Hu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
edge detection
computer vision
convolutional neural networks (CNNs)
attention mechanisms
transformer
generative models
Online Access:https://www.mdpi.com/2227-7390/13/15/2464
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