Erosion and dilation as solutions to regularization problem

Mohamed A. Khabou; Paul D. Gader

doi:10.1117/12.271113

4 April 1997 Erosion and dilation as solutions to regularization problem

Mohamed A. Khabou, Paul D. Gader

Proceedings Volume 3026, Nonlinear Image Processing VIII; (1997) https://doi.org/10.1117/12.271113
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

In this paper, we show that gray scale dilation, erosion and consequently hit-miss transform, are solutions to a regularization problem. The theory is an extension to the fact that maximum and minimum operators are Green's functions. These morphological operators are used successfully in a morphological shared-weight neural network designed for automatic target recognition and handwritten digit recognition.

Citation Download Citation

Mohamed A. Khabou and Paul D. Gader "Erosion and dilation as solutions to regularization problem", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); https://doi.org/10.1117/12.271113

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