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A Novel Approach to Line Detection using Image Integration Method

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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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file details Dan_Lin_Poster.pdf 2017-07-21 公开 下载