Fast detection of generic biological particles in cryo-EM images through efficient Hough transforms | IEEE Conference Publication | IEEE Xplore

Fast detection of generic biological particles in cryo-EM images through efficient Hough transforms


Abstract:

One of the current challenges in the analysis of a very large number of images acquired using cryo-electron microscopy is to investigate fast, accurate approaches for aut...Show More

Abstract:

One of the current challenges in the analysis of a very large number of images acquired using cryo-electron microscopy is to investigate fast, accurate approaches for automatic detection of biological particles. Cross-correlation with a reference image based techniques have been developed in the past for this purpose; both computational requirements and accuracy, however, have limited their applicability to only a very small set of particles. The paper describes a new computational framework for fast, automatic particle detection, through the application of edge detection and a sequence of ordered Hough transforms. In particular, it presents how to adapt the generalized Hough transform to efficiently detect approximately rectangular shapes in a cluttered background. Preliminary results using hemocyanin as a model particle are promising.
Date of Conference: 07-10 July 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7584-X
Conference Location: Washington, DC, USA

References

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