Analysis of Neural Networks for Edge Detection

نویسندگان

  • Berend Jan van der Zwaag
  • Kees Slump
  • Lambert Spaanenburg
چکیده

This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, the elements of a feedforward-backpropagation neural network, that has been trained to detect edges in images, are described in terms of differential operators of various orders and with various angles of operation. Keywords—Neural networks, rule extraction, edge detection, digital image processing, gradient filters.

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تاریخ انتشار 2002