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Research of locating robot color patch based on color vector analysis algorithm

机译:基于颜色矢量分析算法的机器人色块定位研究

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This paper mainly proposes the method of locating robot based on vision and uses method based on color patch to locate robot. The knowledge about image sharpening and smoothing with emphasis on RGB color vector analysis algorithm is introduced in this paper. In preprocessing for colorful image, the main method includes image smoothing and image sharpening, image sharpening has many ways; different ways have different effect. This paper proposes Laplacian operator, which does best in eliminating noise and anti-disturbance, to sharpen colorful image. In testing color target, this work proposes the method for locating color patch based on RGB color vector analysis algorithm to identify image directly, saving the transformation time of color space. This algorithm does best in timeliness, precision, anti-disturbance and adaptability. The effect in practical application is also good.
机译:本文主要提出了一种基于视觉的机器人定位方法,并采用了基于色标的机器人定位方法。介绍了有关图像锐化和平滑的知识,重点介绍了RGB颜色矢量分析算法。在彩色图像的预处理中,主要方法包括图像平滑和图像锐化,图像锐化有多种方式。不同的方式有不同的效果。本文提出了一种Laplacian算子,该算子在消除噪声和抗干扰方面表现最佳,可以使彩色图像锐化。在测试色彩目标时,提出了一种基于RGB色彩矢量分析算法的色彩斑块定位方法,可以直接识别图像,节省色彩空间的转换时间。该算法在及时性,准确性,抗干扰性和适应性方面表现最佳。在实际应用中效果也不错。

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