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Everything about Edge detection
Image processing method
Edge detection includes a variety of mathematical methods that aim at identifying edges, defined as curves in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The same problem of finding discontinuities in one-dimensional signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Edge detectionA 5-minute orientation
- Skim a recent paper: Survey of Image Edge DetectionInfluential work since 2022
- Pick up a classic book: An inverse problem in thermal imagingThe most-reprinted book on the subject
- Read the landmark paper: A Computational Approach to Edge DetectionCited 23,910 times
- Go sideways: Canny edge detectorA closely related topic
- Go sideways: Image gradientA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A Computational Approach to Edge Detection
Scale-space and edge detection using anisotropic diffusion
Theory of edge detection
On Edge Detection
Holistically-Nested Edge Detection
Statistical edge detection: learning and evaluating edge cues
Morphologic edge detection
Competitive fuzzy edge detection
🆕 Influential since 2022
📚 Books worth reading
- 📕An inverse problem in thermal imagingKurt Bryan · 1994
- 📕Research towards the development of a structurally integrated optical fiber sensor system for impact detection in aircraft composite leading edgeStephane Dubois · 1989
- 📕A discrepancy within primate spatial vision and its bearing on the definition of edge detection processes in machine visionDaniel J. Jobson · 1990
Edge of darknessMartin, Troy Kennedy · 1990- 📕User's and test case manual for FEMATS · 1995
Insight into ImagesTerry S. Yoo · 2004
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Canny edge detector The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by…
- Image gradient An image gradient is a directional change in the intensity or color in an image. The gradient of the image is one of the fundamental building blocks in…
- Prewitt operator The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator…
- Corner detection Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection…
- Roberts cross The Roberts cross operator is used in image processing and computer vision for edge detection. It was one of the first edge detectors and was initially…
- Deriche edge detector Deriche edge detector is an edge detection operator developed by Rachid Deriche in 1987. It is a multistep algorithm used to obtain an optimal result of…
- Marr–Hildreth algorithm In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is, continuous curves where there are strong and…
- Gaussian blur In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician…