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A Novel Approach to Line Detection using Image Integration Method Public Deposited

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https://ir.library.oregonstate.edu/concern/defaults/qz20st96m

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  • - Collagen fibers are found in 25% of the whole body protein content. They are highly adhesive to cells and can be used as scaffold proteins that can promote cell growth and be used to capture cells. - In our lab, we use collagen to capture cancer cells in order to study how the cells communicate with each other. To understand how cancer cells behave inside a collagen matrix, we must identify the fibers on collagen images produced by a confocal microscope and determine the lines’ translation and orientation. - Collagen can be approximated as lines. Thus, extracting collagen fibers on collagen images becomes a 2-D line detection problem - Confocal microscope images have complex textures. In our case, our images are filled with Gaussian noise. - Existing line detection algorithms, such as the Hough Transform, requires filters to remove noise on images. Filters can increase computational costs which can be impractical in our lab. - We developed a novel line detection method that requires no filters to remove noise on images.
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  • description.provenance : Made available in DSpace on 2015-06-15T20:41:02Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Dan_Lin_Poster.pdf: 1691366 bytes, checksum: 75631b448e0adbfda5930a7d7c6bd9b3 (MD5)
  • description.provenance : Submitted by Daniel Lin (lintzu@onid.orst.edu) on 2015-06-12T20:50:58Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Dan_Lin_Poster.pdf: 1691366 bytes, checksum: 75631b448e0adbfda5930a7d7c6bd9b3 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2015-06-15T20:41:01Z (GMT) No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Dan_Lin_Poster.pdf: 1691366 bytes, checksum: 75631b448e0adbfda5930a7d7c6bd9b3 (MD5)

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