JOURNAL ARTICLE
Estimation-detection of object boundaries in noisy images
Year: 1978 Journal: IEEE Transactions on Automatic Control Vol: 23 (5)Pages: 834-846 Publisher: Institute of Electrical and Electronics Engineers
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:
Estimator Artificial intelligence Context (archaeology) Additive white Gaussian noise White noise Computer science Computer vision Pattern recognition (psychology) Noise (video) Gaussian noise Binary number Object detection Estimation Gaussian Object (grammar) Noise measurement Mathematics Algorithm Image (mathematics) Noise reduction Statistics
Metrics
32
Cited By
5.27
FWCI (Field Weighted Citation Impact)
22
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Image and Object Detection Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences → Engineering → Media Technology
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