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Feature extraction and fusion for protein structure identification in cryo-electron microscopic images using Independent Component Analysis and the projection-slice synthetic Filter

Feature extraction and fusion for protein structure identifi...

引用

Conference on Multisensor, Multisource Information Fusion

作者： Riasati, Vahid R. Braunreiter, Dennis Sci Applicat Int Corp 10260 Campus Point Dr San Diego CA 92121 USA

ISBN: (纸本)0819462985

In this paper we utilize the projection-slice synthetic discriminant Function Filters, PSDF, in concert with an Independent Component Analysis technique to simultaneously reduce the data set that represents each of the training images and to emphasize subtle differences in each of the training images. These differences are encoded into the PSDF in order to improve the filter sensitivity for the recognition and identification of protein images formed from a cryo-electron microscopic imaging process. The PSDF and Independent Component Analysis provide a premise not only for the identification of the class of structures under consideration, but also for detecting the orientation of the structures in these images. The protein structures found in cryo-electron microscopic imaging represent a class of objects that have low resolution and contrast and subtle variation. This poses a challenge in design of filters to recognize these structures due to false targets that often have similar characteristics as the protein structures. The incorporation of a component analysis and eigen values conditioning in forming the filter provides an enhanced approach of de-correlating images prior to their incorporation into the filter. We present our method of filter synthesis and the results of the application of this modified filter to a protein structure recognition problem.

关键词： Independent Component Analysis projection-slice synthetic discriminant functions

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Invariant face recognition using a projection-slice synthetic-discriminant-function-based algorithm

引用

OPTICAL ENGINEERING 2002年第1期41卷 87-93页

作者： Alsamman, AR Alam, MS Univ S Alabama Dept Elect & Comp Engn Mobile AL 36688 USA

The projection-slice theorem has been used to create synthetic-discriminant-function based matched filters that are capable of discerning rotation and scale distortions. We propose to use the projection-slice algorithm for invariant face recognition that is capable of accommodating in-plane and out-of-plane 3-D distortions. The projection-slice algorithm is applied to training images in order to synthesize a composite image to represent each class. The optoelectronic fringe-adjusted joint transform correlator (JTC) technique is then used to correlate the test images with the composite images of each class. That technique was chosen for its superior performance to alternative JTCs and the feasibility of its implementation in the all-optical domain. Simulation results are furnished to prove the effectiveness of the proposed system. (C) 2002 Society of Photo-Optical Instrumentation Engineers.

关键词： fringe-adjusted JTC face recognition projection-slice synthetic discriminant functions

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