In this paper, we present the results of an application of attribute space morphological filters for tracking sub-atomic particles in magnetic fields. For this purpose, we have applied the concept of attribute space and connectivity to the binary images produced by charged particles passing through the tracking detector for the future experiment PANDA. This detector could be considered as an undirected graph with irregular neighbourhood relations. For this project, we rely only on the detector geometry. In addition, we have extended the graph to estimate the z-coordinates of the particle paths. The result is an O(n2), proof of concept algorithm with a total error of approximately 0.17; this value depends on track multiplicity and particle type and its parameters. The results look promising; however, more work needs to be done to make this algorithm applicable for the real-life case.
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