13 November 2003 Multiscale detection of filamentary features in image data
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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.
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Xiaoming Huo, Xiaoming Huo, Jihong Chen, Jihong Chen, David L. Donoho, 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); doi: 10.1117/12.503721; https://doi.org/10.1117/12.503721
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