From active contours to anisotropic diffusion: Connections between basic PDE's in image processing
Publication
, Journal Article
Sapiro, G
Published in: IEEE International Conference on Image Processing
December 1, 1996
In this paper, we present mathematical and qualitative relations between a number of partial differential equations frequently used in image processing and computer vision. We show for example that classical active contours introduced for object detection by Terzopoulos and colleagues are connected to anisotropic diffusion flows as those defined by Perona and Malik. We also deal with the relation of these flows with shock filters and variational approaches for image restoration.
Duke Scholars
Published In
IEEE International Conference on Image Processing
Publication Date
December 1, 1996
Volume
1
Start / End Page
477 / 480
Citation
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Chicago
ICMJE
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Sapiro, G. (1996). From active contours to anisotropic diffusion: Connections between basic PDE's in image processing. IEEE International Conference on Image Processing, 1, 477–480.
Sapiro, G. “From active contours to anisotropic diffusion: Connections between basic PDE's in image processing.” IEEE International Conference on Image Processing 1 (December 1, 1996): 477–80.
Sapiro G. From active contours to anisotropic diffusion: Connections between basic PDE's in image processing. IEEE International Conference on Image Processing. 1996 Dec 1;1:477–80.
Sapiro, G. “From active contours to anisotropic diffusion: Connections between basic PDE's in image processing.” IEEE International Conference on Image Processing, vol. 1, Dec. 1996, pp. 477–80.
Sapiro G. From active contours to anisotropic diffusion: Connections between basic PDE's in image processing. IEEE International Conference on Image Processing. 1996 Dec 1;1:477–480.
Published In
IEEE International Conference on Image Processing
Publication Date
December 1, 1996
Volume
1
Start / End Page
477 / 480