利用模式的非线性空间滤波降低二值图像中的噪声

T. M. S. Mulyana
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引用次数: 3

摘要

噪声是二值图像中物体与背景分离时经常遇到的问题。背景和物体之间可能会产生杂音,可以是斑点或斑驳,而流苏与物体相连。对瞳孔目标从人眼图像中分割的研究,尝试采用模式的非线性空间滤波来降低二值图像中的噪声。在二值图像上使用这种滤波方法,既可以降低背景处的黑噪声,又可以降低目标图像处的白噪声。同时减少斑点噪声和流苏噪声。
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Reduce noise in the binary image using non linear spatial filtering of mode
Noise is a problem that is often encountered when separating the object from the background in the binary image. Noise may occur in the background and the object, can be spot or patchy and the tassel is connected to the object. The research segmentation of pupil object from eye image, tries to using non-linear spatial filtering of mode to reduce noise in the binary image. Using this filtering at the binary image, can be reduced the both of black noise at the background and the white noise at the object image. Also reduce spot noise and tassel noise.
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