Parallel Thinning by a Recurrent Neural Network
نویسندگان
چکیده
A 3-layer recurrent neural network is proposed for parallel thinning. This network iteratively removes the contour points of an object shape by template matching. After the neural network converges, a perfectly 8-connected skeleton is derived. The set of templates which the neural network tries to match is specially designed for a one-pass parllel thinning algorithm. The proposed neural network is shown both theoretically and experimentally to do the same work as the one-pass parallel thinning algorithm.
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عنوان ژورنال:
- J. Inf. Sci. Eng.
دوره 11 شماره
صفحات -
تاریخ انتشار 1994