page_title: Gradient vector flow
hierarchical_section_title: Gradient vector flow
caption_attribution_description: English: The object shown in the top left is used as an edge map to generate a three-dimensional GVF �field. Vectors and streamlines of the GVF �field are shown in the (Z) zoomed region, (V) vertical plane, and (H) horizontal plane.
context_page_description: Gradient vector flow, 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's widely used in image analysis and computer vision applications for object tracking, shape recognition, segmentation, and edge detection. In particular, it's commonly used in conjunction with active contour model.
context_section_description: 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's widely used in image analysis and computer vision applications for object tracking, shape recognition, segmentation, and edge detection.  In particular, it's commonly used in conjunction with active contour model.
caption: Results from Gradient Vector Flow algorithm applied to 3-D Metasphere data
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