A new joint wavelet transform correlation-based technique is
proposed for feature extraction such as the detection of edges in an
unknown input scene. We exploited a modified version of the Roberts
and the Sobel wavelet filters as reference images for extracting the
edges of an unknown input scene. The performance of the proposed
technique with the aforementioned wavelet filters is evaluated and
compared by use of numerical simulations. For noise-free input
scenes the Roberts wavelet filter was found to yield a superior output
compared with that of the Sobel wavelet filter. However, for noisy
input scenes the Sobel wavelet filter was found to yield a better
output compared with the Roberts wavelet filter.
© 1998 Optical Society of America
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