An automatic optimum kernel-size selection technique for edge enhancement
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Abstract
Edge enhancement is a technique that can be considered, to a first order, a correction for the modulation transfer function of an imaging system. Digital imaging systems sample a continuous function at discrete intervals so that high-frequency information cannot be recorded at the same precision as lower frequency data. Because of this, fine detail or edge information in digital images is lost. Spatial filtering techniques can be used to enhance the fine detail information that does exist in the digital image, but the filter size is dependent on the type of area being processed. A technique has been developed by the authors that uses the horizontal first difference to automatically select the optimum kernel-size that should be used to enhance the edges that are contained in the image.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | An automatic optimum kernel-size selection technique for edge enhancement |
| Series title | Remote Sensing of Environment |
| DOI | 10.1016/0034-4257(82)90005-0 |
| Volume | 12 |
| Issue | 1 |
| Year Published | 1982 |
| Language | English |
| Publisher | Elsevier |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 16 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Remote Sensing of Environment |
| First page | 23 |
| Last page | 38 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |