OptiMa.HomogeneityAnalysis

  • Determination of object and area homogeneity
  • Determination of various particle and phase boundary parameters
  • For structures of all kinds
  • Binarization and object detection
  • Measurement taking into account both intensity and color information
  • Determination of parameters for cha-racterization of both object and area homogeneity
  • Generation of measurement series data for image series
  • Evaluation of single images or batch evaluation of image series
  • Interface to image databases
  • Automatic generation of protocols

The assessment of material properties can be improved by determining the homogeneity of microstructures and enables a comparison with the aid of comparable characteristic values. The calculation of homogeneity has a general character and can be applied to a wide variety of microstructures both in the materials sector and in many other fields, e.g. medicine and biology. It is particularly suitable for determining the homogeneity on cast structures as well as on rolled microstructures.

Measurement principle​

The images are separated into background and object phase via a selectable binarization method. Afterwards, the homogeneity values can be calculated. If required, image operations can be performed before detection to improve the image quality in terms of evaluation.

For a clear interpretation of the homogeneity, the analysis result is displayed in the Homogeneity Analysis module using a Lorenz curve. A completely homogeneous system is described by the uniform distribution line, on which each component describes the same x and y value. All other cases describe curves below this line, the so-called Lorenz curves. Between these two function curves a concentration surface is created.

The homogeneity is determined with reference to different parameters shown in the image.

All measurement results are clearly displayed and any deviations can be identified at a glance. The intelligent visual representation also makes the measurement results comprehensible for experts.