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Optimal structuring elements for the morphological pattern restoration of binary images

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1 Author(s)
D. Schonfeld ; Signal & Image Res. Lab., Illinois Univ., Chicago, IL, USA

In this paper, we derive the optimal structuring elements of morphological filters in image restoration. The expected pattern transformation of random sets is presented. An estimation theory framework for random sets is subsequently proposed. This framework is based on the least mean difference (LMD) estimator. The LMD estimator is defined to minimize the cardinality of the expected pattern transformation of the set-difference of the parameter and the estimate. Several important results for the determination of the LMD estimator are derived. The LMD structuring elements of morphological filters in image restoration are finally derived

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:16 ,  Issue: 6 )