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TILED DATA RECONSTRUCTION AND CORRECTION

TILED DATA RECONSTRUCTION AND CORRECTION. ASHWINI NIKKAM JITHU JOSE SHRAVYA RAO. OUR GOAL. Tiles must be fit or stitched together to form one image.  Automate the entire plugin. Minimum user interaction. Dynamic selection of the directory of images.

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TILED DATA RECONSTRUCTION AND CORRECTION

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  1. TILED DATA RECONSTRUCTION AND CORRECTION ASHWINI NIKKAM JITHU JOSE SHRAVYA RAO

  2. OUR GOAL • Tiles must be fit or stitched together to form one image.  • Automate the entire plugin. • Minimum user interaction. • Dynamic selection of the directory of images. • Accurately stitch multiple images • Correct the brightness differences across the image

  3. APPROACH

  4. DIRECTORY CHOOSER • Two directory choosers to dynamically choose the path for • Stack of Images • XML File

  5. DIRECTORY CHOOSER

  6. XML PARSING • Xml file is parsed to obtain list of nodes. • For each node, values of Xno and Yno are acquired using the tag name of the image. • Xno and Yno – position of images.

  7. STITCHING • Numerous slices for each image. • Similar indexes from each image are stitched together. • Gives multiple stitched images. • Every stitched image is put into stack to form final image.

  8. STITCHING Image stitching Adds each image to the stack Replaces the images with specified stack and updates display

  9. RESULTS

  10. REFERENCES • http://fiji.sc/Bio-Formats • http://stackoverflow.com/questions/5997499/ • http://fiji.sc/Image_Stitching • http://java-forums.org  • http://rsb.info.nih.gov/ij/developer/api/ij/ • http://www.openmicroscopy.org/site/support/bio-formats5/developers/java-library.html

  11. THANK YOU

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