Graduate Thesis Or Dissertation

 

Pattern discovery in noisy images Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/pk02cf16m

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  • The Focused Ion Beam (FIB) tool is a versatile instrument for nano-machining in circuit editing. Circuit editing is one of the most important steps in the design of an electronic circuit on a chip. Circuit editing can be improved by imaging of silicon plates and analyzing the resultant images. However smaller features in FIB produce lower signal-to-noise (S/N) ratio in images, and thus render visual feedback increasingly difficult. For this Master thesis, we focus on analyzing a set of Focused Ion Beam grey valued images. Our goal is to reduce the noise in images, and apply an appropriate filter, for feature extraction. This is expected to allow us to see the significant features of the silicon plates. The main challenge is that the noise and its level are unknown. Also the significant features of the silicon plate are unknown. Therefore the problem that we face here is discovery of an unknown pattern in images, under unknown noise. We make the assumption that noise is a superposition of a Gaussian noise, Salt-and-Pepper noise and affine perturbations. We seek the significant features using a least squares optimization to solve for the latent affine transformation, and recover the most significant pattern in the images. The improved images enable the tool user to recognize critical features more reliably for circuit editing.
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  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Rejecting because none of the revisions on the pretext pages were changed and the Commencement date on the title page shows June 2012 and it should be June 2014. I will email you a copy of the revisions to the pretext page I sent you back in April. Once revised, open the item that was rejected. Replace the attached file with the revised file and resubmit. Thanks, Julie on 2013-09-30T16:51:05Z (GMT)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2013-10-22T19:13:19Z (GMT) No. of bitstreams: 1 DhamodaranSharathKumar2013.pdf: 2424102 bytes, checksum: c3b3c9827559663a424f3dd3ad1e7df7 (MD5)
  • description.provenance : Made available in DSpace on 2013-10-22T19:13:19Z (GMT). No. of bitstreams: 1 DhamodaranSharathKumar2013.pdf: 2424102 bytes, checksum: c3b3c9827559663a424f3dd3ad1e7df7 (MD5) Previous issue date: 2013-04-05
  • description.provenance : Submitted by Sharath Kumar Dhamodaran (dhamodas@onid.orst.edu) on 2013-09-23T21:07:11Z No. of bitstreams: 1 DhamodaranSharathKumar2013.pdf: 2694102 bytes, checksum: cd7517633c867551bded14ff58c3339a (MD5)
  • description.provenance : Submitted by Sharath Kumar Dhamodaran (dhamodas@onid.orst.edu) on 2013-10-02T21:07:52Z No. of bitstreams: 1 DhamodaranSharathKumar2013.pdf: 2424102 bytes, checksum: c3b3c9827559663a424f3dd3ad1e7df7 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2013-10-07T20:20:06Z (GMT) No. of bitstreams: 1 DhamodaranSharathKumar2013.pdf: 2424102 bytes, checksum: c3b3c9827559663a424f3dd3ad1e7df7 (MD5)

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