Colour and Multispectral Morphological Processing
Colour and Multispectral Morphological Processing
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DOI：
10.1109/icapr.2009.109
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发表时间：
2009-02
期刊：
影响因子：
--
通讯作者：
J. Serra
中科院分区：
文献类型：
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作者：
J. Serra
经典的基于极性的颜色表示（HLS， HSV等）导致亮度和饱和度具有不一致的属性。回顾了对正确定量色极表示的要求。它们导致使用规范，尤其是第一规范。彩色图像是多变量函数，分割彩色图像必须经过约简步骤。它通常是通过计算一个梯度模块得到的，然后被分割成一个灰度调图像。本文提出了另一种解决方案。它基于分离的分段，然后最终合并成一个唯一的分区。文中还考虑了顶帽变换在提取颜色细节方面的推广。这些新的边缘色彩算子利用了彩色和消色差（或光谱和空间几何）色彩成分的自适应组合。给出了地形图特征提取的实例。
The classical colour polar-based representations (HLS, HSV, etc.) lead to brightness and saturation with non consistent properties. The requirements for a correct quantitative colour polar representation are recalled. They lead to using norms, and in particular the L1 norm. Colour images are multivariable functions, and for segmenting them one must go through reducing step. It is classically obtained by calculating a gradient module,which is then segmented as a gray tone image. An alternative solution is proposed in the paper. It is based on separated segmentations, followed by final merging into a unique partition. The generalization of the top-hat transformation for extracting colour details is also considered. These new marginal colour operators take advantage of an adaptive combination of the chromatic and the achromatic (or the spectral and the spatio-geometric) colour components. Examples in feature extraction from geographical maps are given.