| 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. ?? 1982. |
| Genre: | Article |
| ProdID: | 70011813 |
| Citation Author: | Chavez, Jr. , P.; Bauer, B. |
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| Citation End Page: | 38 |
| Citation Issue: | 1 |
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| Citation Language: | English |
| Citation Larger Work Title: | Remote Sensing of Environment |
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| Citation Number Of Pages: | 16 |
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| Citation Search Results Text: | An automatic pptimum kernel-size selection technique for edge enhancement; 1982; Article; Journal; Remote Sensing of Environment; Chavez, Jr. , P.; Bauer, B. |
| Citation Start Page: | 23 |
| Citation Volume: | 12 |
| Citation Year: | 1982 |
| Type: | citation/reference |
| Text: | An automatic pptimum kernel-size selection technique for edge enhancement; 1982; Article; Journal; Remote Sensing of Environment; Chavez, Jr. , P.; Bauer, B. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Fri, 1 Jan 1982 00:00 -0600 |
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