DocumentCode
3540063
Title
A chromatic contour detector based on abrupt change techniques
Author
Chapron, Michel
Author_Institution
ENSEA-ETIS, Cergy, France
Volume
3
fYear
1997
fDate
26-29 Oct 1997
Firstpage
18
Abstract
A method for segmenting colored images based on contour detection is described. It involves the use of techniques based on abrupt change detection used in signal processing and control systems. This work is based on a theoretical framework: differential geometry, tensors, Neyman-Pearson´s optimal decision. Good results are obtained with Gaussian and exponential noises. This method also provides a very good location of contours
Keywords
Gaussian noise; differential geometry; edge detection; image colour analysis; image representation; image segmentation; tensors; Gaussian noise; Neyman-Pearson´s optimal decision; abrupt change techniques; chromatic contour detector; colour image segmentation; differential geometry; edge detection; exponential noise; tensors; Cameras; Color; Colored noise; Detectors; Image edge detection; Image recognition; Image segmentation; Layout; Signal processing; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.631961
Filename
631961
Link To Document