AN AUTOMATIC OPTIMUM KERNEL-SIZE SELECTION TECHNIQUE FOR EDGE ENHANCEMENT

被引：26

作者：

CHAVEZ, P ^{[1
]}

BAUER, B ^{[1
]}

机构：

[1] US GEOL SURVEY,EARTH RESOURCES OBSERV SYST DATA CTR,SIOUX FALLS,SD 57198

来源：

REMOTE SENSING OF ENVIRONMENT | 1982年 / 12卷 / 01期

关键词：

D O I：

10.1016/0034-4257(82)90005-0

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：23 / 38

页数：16