4 April 1997 Erosion and dilation as solutions to regularization problem
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohamed A. Khabou, Mohamed A. Khabou, Paul D. Gader, Paul D. Gader, } "Erosion and dilation as solutions to regularization problem", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); doi: 10.1117/12.271113; https://doi.org/10.1117/12.271113
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