A Study on Modified Mask for Edge Detection in AWGN Environment

作者: Chang-Young Lee , Nam-Ho Kim

DOI: 10.6109/JKIICE.2013.17.9.2199

关键词:

摘要: In modern society the image processing has been applied to various digital devices such as smartphone, camera, and TV. field of edge detection is one important parts in procedure. The means point that pixel value changed between background object rapidly, includes information magnitude, location, orientation. performance existing method insufficient for degraded by AWGN(additive white Gaussian noise) because it detects edges using small weighted masks. Therefore, this paper, detect AWGN environment effectively, we proposed an algorithm calculated gradient sorting vector which transformed estimated mask from new according each region.

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