| Abstract |
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We present a novel method that finds edges between certain image features, e.g. gray-levels, and disregards edges between other features. The method uses a channel representation of the features and performs normalized convolution using the channel values as certainties. This means that the edge filter can disregard areas with certain features. The method provides an important new tool for finding tissue specific edges in medical images, as demonstrated by an MR-image example.
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 Additional Information
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Citation:
M. Borga, H. Malmgren, H. Knutsson,
"FSED - Feature Selective Edge Detection,"
icpr,
p. 1229,
15th International Conference on Pattern Recognition (ICPR'00) - Volume 1,
2000
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