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Detection of virus particles in noisy spot-scan electron cryomicroscopy images Export

Image Processing, 1995. Proceedings., International Conference on In Image Processing, 1995. Proceedings., International Conference on, Vol. 3 (1995), pp. 168-171 vol.3.

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We present a method to identify and extract virus particle images from noisy spot-scan electron cryomicroscopy images. We use a template matching algorithm to identify virus particles. Due to the high spatial variation and low contrast of these images we employ a series of preprocessing operations before performing the template matching. These preprocessing operations detect and remove the black areas present in spot-scan images using spatial histogram operations and binary mathematical morphology. Following the detailed description of our method we discuss the consistency and accuracy of particle selection


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