DocumentCode
2034266
Title
Non-Additive Approach for Gradient-Based Edge Detection
Author
Jacquey, Florence ; Loquin, Kevin ; Comby, Frédéric ; Strauss, Olivier
Author_Institution
LIRMM, Montpellier
Volume
3
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
In this paper, we propose a new method to perform the first derivative estimation of a discrete intensity distribution. This approach is based on a non-additive aggregation process and provides an estimate of the gradient as intervals instead of single values. These intervals are used to threshold a gradient-based edge detection and therefore discard spurious detections due to noise.
Keywords
edge detection; gradient methods; discrete intensity distribution; first derivative estimation; gradient-based edge detection; nonadditive approach; Detectors; Digital images; Image edge detection; Image reconstruction; Interpolation; Kernel; Noise level; Noise reduction; Noise robustness; Surface fitting; Choquet integral; Edge detection; capacity; fuzzy numbers; possibility; summative and non-summative kernels;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4379243
Filename
4379243
Link To Document