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A search for geometric-shape objects in a vector image: Scalable Vector Graphics (SVG) file format

机译:搜索矢量图像中的几何形状对象:可缩放矢量图形(SVG)文件格式

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This paper proposes a model for detecting objects with geometric shapes in an image whose file format is SVG (Scalable Vector Graphics). The SVG is known as a type of vector images. A major interesting feature of SVG is that components in victor images are created using mathematical theories and equations, in addition, vector images have many more advantages over raster images in various aspects. Moreover, an object's details in a human's sight, a triangle for example, is looked as it has three corners. But the true shape created in SVG of the object may be different from the human's limited sight. Observing these gaps or limitation, we thus propose alternatively simple methods for processing on objects with geometric shapes directly in a vector image without loss of any details in its original form.
机译:本文提出了一种用于检测文件格式为SVG(可缩放矢量图形)的图像中具有几何形状的对象的模型。 SVG被称为矢量图像的一种。 SVG的一个主要有趣特征是,胜利者图像中的分量是使用数学理论和方程式创建的,此外,矢量图像在各个方面都比光栅图像具有更多优势。此外,在人眼中,对象的细节(例如三角形)看起来具有三个角。但是,对象的SVG中创建的真实形状可能与人类有限的视线有所不同。观察这些差距或局限性,我们因此提出了另一种简单的方法,可直接在矢量图像中处理具有几何形状的对象,而不会丢失其原始形式的任何细节。

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