HALCON 7.1 Highlights: Estimation of Noise in the Image

Estimation of Noise in the Image

The processing of images without extra user interaction is becoming more and more important

Reasons for this are

Low skill of user in the field of image processing
The need of running machines without a controling user

Therefore, the image processing library has to offer more and more methods to automatically determine parameters

One further step in this direction is the automatic determination of noise

application examples

:: Automatic noise level determination can be used in various areas:
   - determine the quality of a camera
   - determine the quality of a frame grabber
   - determine current noise level of the camera depending on the current settings, such as gain, offset
   - determine parameter for image processing operators like the minimum contrast of edge filters
   - determine the amplitude of a noise-like texture in the image

:: The determined value can be used to
   - inform the user about the current status of the system continuously
   - automatically adapt the parameters of image processing methods
   - quality assurance of the production process