Analysis of Neural Networks for Edge Detection


Zwaag van der, Berend Jan and Slump, Kees and Spaanenburg, Lambert (2002) Analysis of Neural Networks for Edge Detection. In: ProRISC 2002, 13th Workshop on Circuits, Systems and Signal Processing, 28-29 November 2002, Veldhoven, the Netherlands.

Abstract: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.
Item Type:Conference or Workshop Item
Copyright:©STW Technology Foundation
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Metis ID: 206911