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### Image Stitching and Alignment Techniques for Tiled Data Reconstruction ###

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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### Image Stitching and Alignment Techniques for Tiled Data Reconstruction ###

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  1. TILED DATA RECONSTRUCTION AND CORRECTION -MadhumithaReddy -SuprajaReddy -Dinesh Kumar Reddy

  2. Stitch and align sequence of images. • Techniques used: Grid stitching Linear blending INTRODUCTION

  3. Using Tilen

  4. 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

  5. Image Merging using linear blending • Linear blend operator g(x)=(1-n) f0(x)+nf1(x) IMPLEMENTATION

  6. SAMPLE OUTPUT

  7. Drosophila larval nervous system Drosophila melanogaster pupae EXPERIMENTAL RESULTS

  8. 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

  9. THANK YOU …

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