‘Digital Colour Brightness’ – a new Visual Common Denominator to Measure Contents of Images @Nanowerk @Nanotechnology @Nanomagazine

‘Digital Colour Brightness’ in ‘True Colour 3D‘ is the output of our ‘Smart Knowledge Engine’, here demonstrated on a small reference image of a colour spectrum:

‘Digital Colour Brightness’ is the ‘fundamental measuring unit’ that we visualise with our ‘Smart Knowledge Engine’.

‘Digital Colour Brightness’ is the result of

  • the digitisation process of the imaging technology plus
  • the innovative numerical representation of matrices on screen and
  • the creative usage of the Graphical Processing Unit [GPU] in modern computers.
  1. Input DATA

Our ‘Smart Knowledge Engine’ accepts as input data any image produced by any imaging technology. This includes stills taken from videos.

  • Given enough computer power, this could be handled real time in high throughput processes to control quality and to monitor productions.

Re-visualisations as ‘movable objects in virtual 3D’ are the visual output for close investigation by ‘domain experts’.

  • They determine upper and lower boundary values for ‘Digital Colour Brightness’ in ‘regions of interest’.
  • To monitor automated processes, exceptional off-limit events would be flagged up.

Due to the generic nature of the software and its independence of scale, the advantages lie in the creation of an ‘online instrument’ for

    • non-destructive measuring, testing and monitoring;
    • the visual and metric analysis of biological, chemical and physical processes over time and
    • the use of ‘Digital Colour Brightness’ as a ‘visual and metric common denominator’:
      • it unites the physics of meter and kilogram in space with measuring movement and change over time.

In summary, the visualisation of Digital Colour Brightness offers new perspectives for analysis and measuring.

Compared with existing visualisation software, our unique features are:

  1. the independence of scale:
    • ‘Digital Colour Brightness’ is a new universal measure for microscopic as well as telescopic images;
  2.  the generic nature with respect to imaging technology:
    • ‘reference images’ can be established to identify ‘reference technologies’ for particular scales;
  3. the independence of application:
    • ‘reference values’ and standards can be developed e.g. for ‘reference materials’.

About Sabine Kurjo McNeill

I'm a mathematician and system analyst formerly at CERN in Geneva and became an event organiser, software designer, independent web publisher and online promoter of Open Justice. My most significant scientific contribution is www.smartknowledge.space
This entry was posted in 3D Metrics, Data Based Science, Digital Colour Brightness, Image Analysis, Metrology, Movable images, Movable objects, On-screen measuring, Smart Knowledge Systems, Web Science. Bookmark the permalink.

1 Response to ‘Digital Colour Brightness’ – a new Visual Common Denominator to Measure Contents of Images @Nanowerk @Nanotechnology @Nanomagazine

  1. Pingback: Flood maps in #TrueColour3D reveal new depths and heights @OpenDefra @DefraGovUK @MrMikeRose @jaCattell | 3D Metrics

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s