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Image Querying with Complex Wavelets: Results of Experiments

Module by: Tom Mowad, Venkat Chandrasekaran

Summary: Gives quantiative results for the different approaches, highlighting strenghts and weaknesses of the old and new approaches.

We decided that for testing purposes we would test images from three categories:
  1. hand-drawn images (using mspaint)
  2. blurred images (which emulates scanned images)
  3. shifted images
From each category, we performed five tests using query images based on images from our database. For every test image we used, except for hand drawn image 5 (shown below), the expected image was returned in the top three percent of matched images when using the complex wavelet algorithm. Results using the real wavelet algorithm were similar, except for on shifted images, where the query images had significantly lower rankings (on the range of top 15%) than from our algorithm.
hand drawn 1
hand1.jpg
Figure 1
actual image
hand1act.jpg
Figure 2
hand drawn 2
hand2.jpg
Figure 3
actual image
hand2act.jpg
Figure 4
hand drawn 3
hand3.jpg
Figure 5
actual image
hand3act.jpg
Figure 6
hand drawn 4
hand4.jpg
Figure 7
actual image
hand4act.jpg
Figure 8
hand drawn 5
hand5.jpg
Figure 9
actual image
hand5act.jpg
Figure 10
blurred 1
blur1.jpg
Figure 11
actual image
blur1act.jpg
Figure 12
blurred 2
blur2.jpg
Figure 13
actual image
blur2act.jpg
Figure 14
blurred 3
blur3.jpg
Figure 15
actual image
blur3act.jpg
Figure 16
blurred 4
blur4.jpg
Figure 17
actual image
blur4act.jpg
Figure 18
blurred 5
blur5.jpg
Figure 19
actual image
blur5act.jpg
Figure 20
shifted 1
shift1.jpg
Figure 21
actual image
shift1act.jpg
Figure 22
shifted 2
shift2.jpg
Figure 23
actual image
shift2act.jpg
Figure 24
shifted 3
shift3.jpg
Figure 25
actual image
shift3act.jpg
Figure 26
shifted 4
shift4.jpg
Figure 27
actual image
shift4act.jpg
Figure 28
shifted 5
shift5.jpg
Figure 29
actual image
shift5act.jpg
Figure 30

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