Multiscale detection of filamentary features in image data
Xiaoming Sharon Huo, Jihong Chen, David L. Donoho · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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.