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This project showcases methodologies for stitching and aligning sequences of images, focusing on tiled data reconstruction. We utilize grid stitching and linear blending to merge images effectively. The image acquisition process involves retrieving images and performing stitching by identifying optimal cross-correlation points. Key implementation details include a linear blend operator for image merging, demonstrated using images of the Drosophila larval nervous system. Experimental results and relevant resources are also cited for further exploration of image stitching techniques. ###
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TILED DATA RECONSTRUCTION AND CORRECTION -MadhumithaReddy -SuprajaReddy -Dinesh Kumar Reddy
Stitch and align sequence of images. • Techniques used: Grid stitching Linear blending INTRODUCTION
Image Processing Methodology ->Image acquisition Process of retrieving images. ->Image stitching Stitching is performed by sliding the new image over the composite image and finding the best cross-correlation point. IMPLEMENTATION
Image Merging using linear blending • Linear blend operator g(x)=(1-n) f0(x)+nf1(x) IMPLEMENTATION
Drosophila larval nervous system Drosophila melanogaster pupae EXPERIMENTAL RESULTS
http://fly.mpi-cbg.de/~preibisch/stitching.html • http://fiji.sc/Stitching_2D/3D#Stitch_Grid_of_Images • https://github.com/search?q=stitching+images+using+imagej&type=Code&ref=searchresults • http://www.lmsc.ethz.ch/Teaching/ipss_2010/TM_3_Olaf REFERENCES