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A Novel Objects Recognition Technique

机译:一种新颖的物体识别技术

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摘要

In this paper, we assume that the objects can be classified according to the pattern in the contour, i.e. features such as dimension, position and orientation are only confounding factors which should not be used in the recognition process. Based on these assumptions, a novel patter Recognition technique was proposed to recognize two dimensional objects with closed contours via the use of Fast Fourier Transform and a constrained k-means clustering technique.
机译:在本文中,我们假设可以根据轮廓中的图案对对象进行分类,即尺寸,位置和方向等特征只是混淆因素,不应在识别过程中使用。基于这些假设,提出了一种新颖的模式识别技术,该技术通过使用快速傅立叶变换和约束k均值聚类技术来识别具有闭合轮廓的二维对象。

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