COLOUR MAP OBJECT SEPARATION
COLOUR MAP OBJECT SEPARATION
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发表时间：
2006
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通讯作者：
A. Cordeiro;P. Pina
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文献类型：
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作者：
A. Cordeiro;P. Pina
本文讨论了在RGB系统中，从现有商用扫描仪获得的地图图像中分离彩色物体的问题。所提出的方法是由一些经过检验的原则决定的，如下所示：1.不改变音调。在它被孤立之前，彩色物体保持着它以前的色调。2.独特的变换。不属于所考虑的对象的像素被发送到背景(3个分量中的值255)。3.颜色空间相关性。考虑非对象像素的决定仅取决于其在组件中的“切割值”。切割值将RGB颜色立方体分割为两个单独的体积或部分。4.空间融合。不同的区段组合形成区域，作为区段的交叉点，用于噪声对象和共同区域，作为区段的联合，用于分离彩色对象。
: This paper addresses the issue of colour objects separation from map images obtained by current commercial scanners, in the RGB system. The proposed methodology is determined by some tested principles, as follows: 1. No Tonal Change . Until its isolation, the colour-object maintains its former tonalities. 2. Unique transform. The pixels that do not belong to the objects under consideration are “sent” to the background (value 255, in the 3 components). 3. Colour Spatial Correlation. The decision of considering a non-object pixel depends only on its “cut value” in a component. A cut value divides the RGB colour cube in two separate volumes or Sections. 4. Spatial Integration . Different Sections combine to form Regions, as intersections of Sections, for the noise-object and Co-Regions, as unions of Sections, for the isolation of the colour-objects.