Abstract
dc:descriptionThe physical properties of polymer foams are essentially defined by the used materials and the inner cell structure of the foam. The foam structure itself is an important attribut of the product requirements for many technical foams. To control the quality of foams a reliable analysis method is essential. Characteristics which are determined are the cell density, the cell size and the area rate of the surface from the cells of a foam cut. For this analysis a system for optical cell analysis (OZELLA) was developed in this paper. As a result of OZELLA the user gets among other things the cell size distribution of the foam. All detected characteristics can be displayed in statistic diagramms. So a specific research of different process parameters for the foam production is possible. It has been shown, that the varitions of the test conditions of the production of foams can be seen in the structures analysis. With the system developed in this paper objective analysis of different closed cell foams is possible for the first time. It has been shown, that the stereo imaging method generates a 3D contour map of the foam surface from two images of the foam structure, which are recorded from different directions. The 3D map allows the reconstruction of the foam structure. Different methods of stereo image processing were tested. In this paper a system for canonical and non parallel axes of the cameras for stereo imaging has been designed and built. The confocal image analysis generates a good reconstruction of the 3D-surface structures of foams. From the focus series, taken with different distances between the camera and the foam structure, the depth informations of the structure are filtered. In this paper new filter algorithms for the detection of the local sharpness were developed. The contour level map represented in 3d-diagrams gives the user a good impression of the 3D-structure of the foam. The first step of the reconstruction from foam structures with the contour level map is followed by the depth segmentation developed in this paper.
Degree
thesis:*- Grantor dc:publisher
- IKV
- Year dc:date
- 2003
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Peters, Rainer
- Contributors dc:contributor
-
- Michaeli, Walter
Subjects
dc:subject × 5Rights
dc:rights- Statement dc:rights
-
- info:eu-repo/semantics/openAccess
- Language dc:language
- ger
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:publications.rwth-aachen.de:59048