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How to use this page

General remarks
  • Fill in the appropriate data in the form-fields of the previous page. We already filled in an example that should work.
  • After submitting your job, our server will try to fetch your images, convert them into an internal floating-point format, and than start the calculations.
  • You can decide to watch the process of the calculations by observing the log-file, or just to wait for your result, which will be send back to you as soon as they become available. If the log-file fails to update automatically, you have to push your "RELOAD"-button.
  • After your calculations are finished, the results are stored at our server for further reference. However, after one or two days, the data will no longer be available on our server.
When things go wrong
  • Most problems occur in accessing your data by our server. Be shure to give a correct URL. You can check your URL by opening the location in your own browser. If your browser loads your image, the URL should be fine. (If our server still can't fetch your data, please contact us.)
  • The algorithms have been designed to be fairly bullet-proof, but if you do not enter correct values, you won't get any sensible results.
  • This server is used also other purposes. If the load-average exceeds 3.0, this service is temporarily suspended.
Specific remarks
  • Please limit the size of your input images to 256x256 pixel.
  • In the orientation-map, the direction is color-coded, with saturation of color indicating estimation certainty. The supplied picture is overlaid as intensity-pattern:

     - Original -  - Example of Output -

    Supplied Picture and Output

  • You can define the size of the image area which is analyzed for orientations by changing the filters used in the calculation:

     - Examples of different filtersizes -

    Fig: Examples of different filtersizes (b0.flx/b2.flx/b4.flx/b16.flx)

  • As stated, saturation values indicate the certainty of the estimate; if you choose the "enhanced" setting, the areas with very confident orientation estimates will have stronger colorvariation visible.

  • If the image has strongly varying contrast, a local contrast-normalization can be pre-applied to enhance the response.

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