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Everything about Gradient vector flow
Computer vision framework
Gradient vector flow (GVF), a computer vision framework introduced by Chenyang Xu and Jerry L. Prince, is the vector field that is produced by a process that smooths and diffuses an input vector field. It is usually used to create a vector field from images that points to object edges from a distance. It is widely used in image analysis and computer vision applications for object tracking, shape recognition, segmentation, and edge detection. In particular, it is commonly used in conjunction with active contour model. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Gradient vector flowA 5-minute orientation
- Skim a recent paper: Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External ForceInfluential work since 2022
- Pick up a classic book: Mathematical Methods in the Physical SciencesThe most-reprinted book on the subject
- Read the landmark paper: Snakes, shapes, and gradient vector flowCited 3,045 times
- Go sideways: Active contour modelA closely related topic
- Go sideways: Laplacian vector fieldA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Snakes, shapes, and gradient vector flow
Generalized gradient vector flow external forces for active contours
Gradient vector flow fast geometric active contours
Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes
Mean shift based gradient vector flow for image segmentation
Dynamic directional gradient vector flow for snakes
Gradient vector flow with mean shift for skin lesion segmentation
Variational Curve Skeletons Using Gradient Vector Flow
🆕 Influential since 2022
Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force
Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow
Image segmentation using active contours with image structure adaptive gradient vector flow external force
Correction to: Universal formula for the flavor non-singlet axial-vector current from the gradient flow
Ultrasound image segmentation based on enhanced generalized gradient vector Flow (EGGVF)
📚 Books worth reading
Mathematical Methods in the Physical SciencesMary L. Boas, Mary Layne Boas · 1966
Medical image analysisAtam P. Dhawan · 2010
Data science from scratchJoel Grus · 2015
Light-matter interactionJohn Weiner, P.-T. Ho · 2003
Linguistic structure predictionNoah A. Smith · 2011
Introduction to Electromagnetic TheoryTai L. Chow · 2005
High Performance Computing for Computational Science - VECPAR 2012Michel Daydé · 2013
Scale Space and Variational Methods in Computer VisionArjan Kuijper · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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