Fuzzy color edge extraction by inference rules quantitative study and evaluation of performances

Authors:
T. Carron;P. Lambert
Affiliations:
-;-
Venue:
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Year:
1995

Citing 3
Cited 1

Representation of Uncertainty in Computer Vision Using Fuzzy Sets

IEEE Transactions on Computers
On the color image segmentation algorithm based on the thresholding and the fuzzy C-means techniques

Pattern Recognition
Edge detection in multispectral images

CVGIP: Graphical Models and Image Processing

Edge, Junction, and Corner Detection Using Color Distributions

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

In the hue saturation intensity (HSI) space, a color edge detection approach based on fuzzy if-then rules is presented. This method avoids the difficulty to combine hue and intensity features. Noise sensitivity and edges localization are studied on synthetic images. Application on real images is given. The results show a good edge localization and a noise sensitivity.