A German mathematician and software designer has developed software methods for automating image analysis as a new non-destructive testing method. The software method is not based on academic publications, but private and independent research and thus proprietary. As input, it uses digital images of any technology. Output consists of new quantifications for classifying images as a whole or components of images and their patterns. It is based on new transformations that allow for new analysis and numerical comparisons.
Whilst the method creates numerical output from image input, the challenge lies in organising the verbal interpretation of image content, component descriptions, and, above all, the significance of measurements and their differences, especially over time.
Innovative Aspects:
The mathematical transformations and image metrics of such fundamental nature so they lend themselves to any technology and any application.
In commercial terms, the advantages are therefore a great variety of applications. In scientific terms, the advantages are a new non-destructive testing method for materials at nanoscale and below and a new process analytical tool for quality control. Advantages are:
- human eye is to see more detail and new perspectives,
- many images can be compared, classified, sorted and ranked ,
- "expert criteria" can be defined by image analysts, so that less skilled people can become users.
