@inproceedings{499be59123df4fda8564c4b75110c876,
title = "Boundary detection based on neural networks model",
abstract = "A new model of feedforward neural networks is proposed for solving the problem of robust boundary detection. Structurally, it is based on a circular mask which is characterized as a symmetrical neural network. By analyzing the weighted intermediate pattern, a dominant pattern is found to appear repeatedly for similar boundary orientation. Hence, a piecewise linearized edge could be detected by this approximation. Experimental results show that this new architecture can be applied to experience scaling effect by changing the mask size.",
author = "Hung, {D. C.Douglas} and Chen, {K. T.}",
year = "1992",
language = "English (US)",
isbn = "0818623004",
series = "Third Int Conf Tools Artif Intell",
publisher = "Publ by IEEE",
pages = "254--257",
booktitle = "Third Int Conf Tools Artif Intell",
note = "Third International Conference on Tools for Artificial Intelligence ; Conference date: 05-11-1991 Through 08-11-1991",
}