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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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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