[1990] Proceedings. 10th International Conference on Pattern Recognition
DOI: 10.1109/icpr.1990.119330
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Optimal small kernels for edge detection

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Cited by 8 publications
(2 citation statements)
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“…Our work on removing these effects at low magnifications (6) should be continued at higher magnifications. Filter kernels other than those used in this study may be more effective in edge detection in that they also address sampling and optical blurring effects (17). The extreme linearity of the sensors should allow reliable measurement of the fluorescence of individual cells in all size ranges.…”
Section: Agesmentioning
confidence: 99%
“…Our work on removing these effects at low magnifications (6) should be continued at higher magnifications. Filter kernels other than those used in this study may be more effective in edge detection in that they also address sampling and optical blurring effects (17). The extreme linearity of the sensors should allow reliable measurement of the fluorescence of individual cells in all size ranges.…”
Section: Agesmentioning
confidence: 99%
“…This reflects the fact that the restored value is used as a measure for the neighborhood rather than as point measure. Such partial restoration is a special case of the technique that [2] call characteristic restoration and can be implemented with a small kernel [16]. As these results indicate, more research into the use of restoration to enhance automated processing is needed.…”
Section: Discussionmentioning
confidence: 99%