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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:

  • hand-drawn images (using mspaint)
  • blurred images (which emulates scanned images)
  • 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

Actual image

Hand drawn 2

Actual image

Hand drawn 3

Actual image

Hand drawn 4

Actual image

Hand drawn 5

Actual image

Blurred 1

Actual image

Blurred 2

Actual image

Blurred 3

Actual image

Blurred 4

Actual image

Blurred 5

Actual image

Shifted 1

Actual image

Shifted 2

Actual image

Shifted 3

Actual image

Shifted 4

Actual image

Shifted 5

Actual image

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Source:  OpenStax, Ece 301 projects fall 2003. OpenStax CNX. Jan 22, 2004 Download for free at http://cnx.org/content/col10223/1.5
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