Title :
Estimation-detection of object boundaries in noisy images
Author :
Nahi, Nasser E. ; Lopez-mora, Simon
Author_Institution :
University of Southern California, Los Angeles, CA, USA
fDate :
10/1/1978 12:00:00 AM
Abstract :
Estimation of boundaries of objects in noisy images is considered when the objects and the background are statistically characterized. The noise is assumed white, additive, and Gaussian. Optimal recursive estimators in a joint estimation-detection context are derived. Applications to binary pictures are illustrated.
Keywords :
Image analysis, boundaries; Recursive estimation; Additive noise; Background noise; Detectors; Gaussian noise; Image edge detection; Object detection; Pattern recognition; Recursive estimation; Robotics and automation; Working environment noise;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1978.1101841
