Geometric partial differential equations in image analysis: past, present, and future
Publication
, Journal Article
Sapiro, G
Published in: IEEE International Conference on Image Processing
December 1, 1995
In this paper I briefly discuss the main characteristics of the use of partial differential equations and curve/surface evolution theory in computer vision and image processing. I will describe the approach and its main advantages, together with a number of examples.
Duke Scholars
Published In
IEEE International Conference on Image Processing
Publication Date
December 1, 1995
Volume
3
Start / End Page
1 / 4
Citation
APA
Chicago
ICMJE
MLA
NLM
Sapiro, G. (1995). Geometric partial differential equations in image analysis: past, present, and future. IEEE International Conference on Image Processing, 3, 1–4.
Sapiro, G. “Geometric partial differential equations in image analysis: past, present, and future.” IEEE International Conference on Image Processing 3 (December 1, 1995): 1–4.
Sapiro G. Geometric partial differential equations in image analysis: past, present, and future. IEEE International Conference on Image Processing. 1995 Dec 1;3:1–4.
Sapiro, G. “Geometric partial differential equations in image analysis: past, present, and future.” IEEE International Conference on Image Processing, vol. 3, Dec. 1995, pp. 1–4.
Sapiro G. Geometric partial differential equations in image analysis: past, present, and future. IEEE International Conference on Image Processing. 1995 Dec 1;3:1–4.
Published In
IEEE International Conference on Image Processing
Publication Date
December 1, 1995
Volume
3
Start / End Page
1 / 4