Title :
A chromatic contour detector based on abrupt change techniques
Author_Institution :
ENSEA-ETIS, Cergy, France
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.631961
