Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2002, Pages 1265-1268

  Huo, Xiaoming ^a   Donoho, David ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; PROBABILITY; RANDOM PROCESSES;

BEAMLET DRIVEN PARTITIONING; BINARY IMAGES; FILAMENTARY OBJECTS;

IMAGE RECONSTRUCTION;

EID: 17444447230     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2002.5744032     Document Type: Article

References (8)

1. Algorithm for computer control of a digital plotter
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3. Wedgelets: Nearly minimax estimation of edges
4. Beamlet pyramids: A new form of multiresolution analysis, suited for extracting lines, curves, and objects from very noisy image data
5. Beamlets and multiscale image analysis
6. Some examples of untraditional statistical computing
7. A model-based approach to the automatic extraction of linear features from airborne images
8. Detection of linear features in SAR images: Application to road network extraction