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EROSION AFTER GRADIENT (ERAGRAD) MORPHOLOGICAL PROFILE

机译:渐变(荆棘)形态学概况后侵蚀

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Morphological profiles [1, 2] have been proven useful for classification and segmentation of remote sensed images. A morphological profile contains information about the size and shape of objects in an image. However, the profile of a pixel not only depends on the geometry of the object it belongs to, but also on whether it is a bright, dark or gray object. Moreover, morphological profiles are not easily extendable to color images. Different attempts have been made, but they either require an artificial ordening of the colors or create profiles for every color band. This makes it more difficult to interpret the morphological profile. In this paper we propose a new kind of morphological profile, the ErAGrad profile. This profile contains a single value for each pixel on each scale. The ErA-Grad profile is easily interpretable and does not depend on the color of the object or the color of the background, but only on the difference between both.
机译:已经证明了形态学曲线[1,2]可用于分类和遥感图像的分割。形态学配置文件包含有关图像中对象的大小和形状的信息。但是,像素的简档不仅取决于它所属对象的几何形状,还取决于它是明亮的,黑暗还是灰色对象。此外,形态轮廓不容易伸展到彩色图像。已经进行了不同的尝试,但它们要么需要一个人工否定颜色或为每个色带创建配置文件。这使得解释形态学概况更加困难。在本文中,我们提出了一种新的形态学配置文件,荆棘概况。此配置文件包含每个比例上的每个像素的单个值。 ERA-GRACICICE是容易解释的,并且不依赖于物体的颜色或背景的颜色,而是仅取决于两者之间的差异。

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