Show simple item record

dc.contributor.advisorC. Forbes Dewey, Jr.en_US
dc.contributor.authorCheng, Yuan, 1971-en_US
dc.date.accessioned2010-02-09T16:45:05Z
dc.date.available2010-02-09T16:45:05Z
dc.date.copyright1998en_US
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/51562
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.en_US
dc.descriptionIncludes bibliographical references (leaves 80-83).en_US
dc.description.abstractBesides its primary application to robot vision, stereo vision also appears promising in the biomedical field. This study examines 3D reconstruction of the cell cytoskeleton. This application of stereo vision to electron micrographs extracts information about the interior structure of cells at the nanometer scale level. We propose two different types of stereo vision approaches: the line-segment and wavelet multiresolution methods. The former is primitive-based and the latter is a point-based approach. Structural information is stressed in both methods. Directional representation is employed to provide an ideal description for filament-type structures. In the line-segment method, line-segments are first extracted from directional representation and then matching is conducted between two line-segment sets of stereo images. A new search algorithm, matrix matching, is proposed to determine the matching globally. In the wavelet multiresolution method, a pyramidal architecture is presented. Bottom-up analysis is first performed to form two pyramids, containing wavelet decompositions and directional representations. Subsequently, top-down matching is carried out. Matching at a high level provides guidance and constraints to the matching at a lower level. Our reconstructed results reveal 3D structure and the relationships of filaments which are otherwise hard to see in the original stereo images. The method is sufficiently robust and accurate to allow the automated analysis of cell structural characteristics from electron microscopy pairs. The method may also have application to a general class of stereo images.en_US
dc.description.statementofresponsibilityby Yuan Cheng.en_US
dc.format.extent83 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineeringen_US
dc.titleThree dimensional reconstruction of the cell cytoskeleton from stereo imagesen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc42202405en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record