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Color morphology-like operators based on color geometric shape characteristics

机译:基于颜色几何形状特征的类似于颜色形态的算子

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Mathematical morphology is based on two infimum- and respectively, supremum-commuting operations (the erosion and the dilation). In the scalar case, these operations are obviously the minimum and maximum. In the vector-valued case, minimum and maximum cannot be easily defined. Pixels within color images are described by three-component vectors, and thus the mathematical morphology is difficult to introduce for colors. We propose pseudo-morphology based on reduced ordering of colors (associate a scalar to each color, order the scalars and impose their ranking to their corresponding colors). The approach has been widely investigated, by proposing different scalars (usually the same scalars as used for distance-based color image filtering). We propose the use of scalars issued as geometrical shape invariants for a triangle-representation of colors.
机译:数学形态学是基于两个最低和最高通勤操作(侵蚀和膨胀)。在标量情况下,这些运算显然是最小值和最大值。在矢量值的情况下,不能轻易定义最小值和最大值。彩色图像中的像素由三分量矢量描述,因此很难为颜色引入数学形态。我们基于减少的颜色顺序(将标量与每种颜色相关联,对标量进行排序并将它们的等级强加给相应的颜色)提出伪形态学。通过提出不同的标量(通常与基于距离的彩色图像过滤所使用的标量相同),已对该方法进行了广泛的研究。我们建议使用标量作为颜色的三角形表示形式的几何形状不变式。

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