Vector morphological operators in HSV color space

Vector morphological operators in HSV color space
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HSV 颜色空间中的向量形态算子

DOI:
10.1007/s11432-011-4475-5
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发表时间:
2012-01
期刊:
Science in China - Series F: Information Sciences
影响因子:
--
通讯作者:
Zhao Jiong
Zhao Jiong
中科院分区:
其他
文献类型:
--
作者:
Lei Tao;Wang Yi;Fan Yangyu;Zhao Jiong

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在HSV颜色空间中,现有的矢量形态学算子对彩色图像处理中由色调和饱和度引起的彩色噪声的抑制能力较低。因为它们是按照V、S、H的层次顺序对彩色像素进行排序的,这违背了彩色图像处理中三个通道的平等原则。提出了一种基于H、S和V组合的矢量排序方法,定义了相应的矢量形态学腐蚀、膨胀和复合滤波算子。实验结果表明,与目前流行的矢量形态学算子相比,新算子在不增加新的彩色像素的情况下,能有效地去除彩色噪声,同时保持图像细节。滤波后的图像具有较高的峰值信噪比(PSNR)和较低的平均绝对误差(MSE)。
In HSV color space, the current vector morphological operators have low capability to reduce color noise caused by hue and saturation in color image processing. Because they sort the color pixels according to the hierarchical ordering of V, S, H, which is against the equal principle of the three channels in color image processing. A novel vector ordering based on the combination of H, S and V is proposed in this paper, and the associated vector morphological erosion, dilation and composite filtering operators are defined. Compared with the popular vector morphological operators, experimental results show that the new operators can reduce the color noise effectively without any new color pixels while preserving the image details. And the filtered images have higher peak signal-to-noise ratio (PSNR) and lower mean absolute error (MSE).
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发表时间: 2003-03
期刊: IEEE Trans. Circuits Syst. Video Technol.
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