An Approach to Reassemble Forensics and Archaeological Image Fragments into Equivalent Original Image |
Author(s): |
| Rucha Shewale , Zeal Education Society's, DCOER; Priyanka Bhoite, Zeal Education Society's, DCOER; Supriya Pawar, Zeal Education Society's, DCOER; Suvarna Gavali, Zeal Education Society's, DCOER; Arun Hattarge, Zeal Education Society's, DCOER |
Keywords: |
| Archeology, Contour, Dynamic Programming, Spatially Adjacent, Optimal Transformation |
Abstract |
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Reassembling of Image fragment problems arises in many scientific field like archeology, forensics and many other. To solve such a problem of reassembling of image fragments by human intervention takes a lot time. And sometimes it might be costlier. To overcome this problem, we are working on a system which will automatically reassemble those image fragments to form original image. With the help of 2D image fragment and contour detection algorithms we can make an efficient use of this system. Reassembling technique is divided into four types. Initially content based image retrieval system is use to identify spatially adjacent fragment. The second step is dynamic programming technique to identify matching contour segment. Third step is to identify optimal transformation to align matching contour segment and last step is overall image reassembling. With the help of these algorithms an optimal transformation in contour can be detected. Doing automation in such work will certainly help in faster, more efficient and patiently reassembling this image fragments. |
Other Details |
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Paper ID: IJSRDV3I2232 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 359-362 |
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