Multiscale detection of filamentary features in image data

Xiaoming Huo; Jihong Chen; David L. Donoho

doi:10.1117/12.503721

13 November 2003 Multiscale detection of filamentary features in image data

Xiaoming Huo, Jihong Chen, David L. Donoho

Proceedings Volume 5207, Wavelets: Applications in Signal and Image Processing X; (2003) https://doi.org/10.1117/12.503721
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

Taking advantage of the new developments in mathematical statistics, a multiscale approach is designed to detect filament or filament-like features in noisy images. The major contribution is to introduce a general framework in cases when the data is digital. Our detection method can detect the presence of an underlying curvilinear feature with the lowest possible strength that are still detectible in theory. Simulation results on synthetic data will be reported to illustrate its effectiveness in finite digital situations.

Citation Download Citation

Xiaoming Huo, Jihong Chen, and David L. Donoho "Multiscale detection of filamentary features in image data", Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); https://doi.org/10.1117/12.503721

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