Hierarchical wavelets projection matching for orientationdetermination of low contrast electron cryomicroscopic images oficosahedral virus particles
Saad, A.; Chiu, W.
Acoustics, Speech, and Signal Processing, 2000. ICASSP apos;00. Proceedings. 2000 IEEE International Conference on
Volume 6, Issue , 2000 Page(s):2270 - 2273 vol.4
Digital Object Identifier 10.1109/ICASSP.2000.859292
Summary:Electron cryomicroscopic images of virus particles, which contain
structural signals at high spatial frequencies, have very low contrast.
This makes the determination of the particles orientations used for
three-dimensional reconstruction very difficult. In this paper we
propose a new method, based on wavelet filtering and the
weighted-projection matching between projections from an initial model
and the raw particle images. The implementation of this method is
performed hierarchically by grouping the model's projections into
classes of similar orientations in order to reduce the processing time.
The raw particle image is compared by correlation method, with centers
of classes and then with all members of the best class, to find the best
match with the projections in wavelet space. The orientation of the
projection giving the highest correlation coefficient is assigned to the
raw particle. Our results show that a significant improvement is
obtained, in terms of accuracy and speed, for the initial orientation
estimates in the low contrast virus particle images
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