Pixel classification based on gray level and local ``busyness''
An image can be segmented by classifying its pixels using local properties as features. Two intuitively useful properties are the gray level of the pixel and the ``busyness,'' or gray level fluctuation, measured in its neighborhood. Busyness values tend to be highly vari-able in busy regio...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 4(1982), 1 vom: 01. Jan., Seite 79-84 |
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Format: | Aufsatz |
Sprache: | English |
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1982
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Journal Article |