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A novel object recognition method based on improved edge tracing for binary images

机译:一种基于改进的边缘跟踪的二值图像目标识别方法

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In this article, we mention about a novel object recognition method based on an improved edge tracing method for binary images. This method named as “NORMBI” (novel object recognition method in binary images) contains two subsequent processes, determining places of independent objects (the starting point detection algorithm) and obtaining their edge points and geometrical shapes information (the edge tracing algorithm). The most important difference between NORMBI and traditional methods is to obtain geometrical shapes information and edge points of objects simultaneously by scanning image matrix once. It means to improve speed factor that has a vital important for object recognition. Besides, a tool has been designed to obtain the performance differences in between NORMBI and traditional methods. The mathematical results obtained are represented comparatively in a tabular format.
机译:在本文中,我们提到了一种基于改进的二进制图像边缘跟踪方法的新颖对象识别方法。这种称为“ NORMBI”的方法(二进制图像中的新颖对象识别方法)包含两个后续过程,确定独立对象的位置(起点检测算法)并获取其边缘点和几何形状信息(边缘跟踪算法)。 NORMBI与传统方法之间最重要的区别是,一次扫描图像矩阵即可同时获得几何形状信息和对象的边缘点。这意味着提高速度因数,这对于物体识别至关重要。此外,还设计了一种工具来获得NORMBI和传统方法之间的性能差异。所获得的数学结果以表格形式相对表示。

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