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Motivated from spectroscopic work in laboratories, an approach to unscramble spectra into their principle components is employed.


Function

An unscrambling process is controlled by the maximum variance information in selected spectra. The perception gained is composed of score values of calculated principle „patterns“ in the spectra. By assigning components to colour channels (which hold application relevant information), a perception is obtained based on principle components.

User Interface

Principle components are extracted unsupervised from selected spectra.
The value per component is shown through a score image at the bottom right of the Model perspective.
By comparison of the score images to expectations and assignment to color channels, a CCI image is obtained (shown to the right of the data view)

Work Flow

  • Select spectra from the scene which potentially holds information of interest.
  • Inspect gained component score images (match with your expectations).
  • Apply preprocessing and in parallel compare results with your expectations.
  • Crop the scene to focus only on objects of interest.
  • Set the scaling to selected spectra to arrange the color contrast in the result.
  • Assign those components to color channels which best describe application relevant information.
  • Save the model for later usage (e.g. to set up the live streaming).

Hints

Use the Extract method with different hyperspectral preprocessing configurations. Try to find a preprocessing configuration where spectral information of interest is shown as distinct variance information.
Often this is done by switching through the preprocessing methods and comparing the results with expectations.

Pro/Con's

(plus) the extraction process doesn't necessitate knowledge about observed objects.

(plus) the component extraction is done in a statistically well validated way.

(plus) suggested as standard analyzing step to get information about the spectral composition

(minus) might fail when components of interest are interfered by much stronger side-components such as noise.

Typical application

  • as analysing tool
  • suggested as standard analysing step

Mentioned in:

Found 4 search result(s) for "extract method".

Page: Impurity detection on sausage (Manuals)
... relevant information are selected. If no application relevant information is available from the score images, the Extract method might not be suitable for your application. In this case, continue with one of the other CCI methods ... ...
Jun 18, 2020
Page: Select Spectra (Manuals)
... Numerous functions in the Perception Studio program need spectra as input. Like the CCI Extract method which unscrambles selected spectra into principle patterns. The Select Spectra Tool provides ... ...
May 28, 2020
Page: Model Hyperspectral Information (Manuals)
... Preview Method: unsupervised method showing spectroscopic differences in different colors. CCI Extract Method: extraction based on variance information. CCI Correlate Method: correlation of pure substances CCI Constrain Method: constraining colors CCI Design Method: design ...
May 27, 2020
Page: Hyperspectral imaging step by step (Manuals)
... Perception Studio's Model perspective → Select the data for the modelling process → Choose a modelling method available in the ribbon → Develop a model and save it for later usage Depending on the application different ...
Jul 07, 2020



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