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Research on multi-pixels edge detecting and matching

机译:多像素边缘检测和匹配的研究

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Aiming at the influence of geometrical deformation on image matching, the method based on gray-level difference between the nearby pixels detecting multi-pixels edge of image is put forward. To a 256 by 256 image, it needs only 0.14 second to detect edge which is 40% and 35% faster respectively than that of the Prewitt and Robert arithmetic. Applying the method based on multi-pixels edge character to image matching, the influences of edge excursion can be improved obviously: when excursion exists in single pixel point, the relative probability of image matching is improved to 67%; when it exits in edge, it is improved to 50%. Research shows that this method is of simple model, high real-time quality and anti-geometrical-deformation. Most importantly, it is simply conducted.
机译:针对几何变形对图像匹配的影响,提出了基于检测图像多像素边缘的附近像素之间的灰度级差的方法。 到256×256图像,它仅需要0.14秒才能检测边缘,分别比PREWITT和ROBERT算术快40%和35%。 将基于多像素边缘字符的方法应用于图像匹配,可以明显提高边缘偏移的影响:当单像素点中存在偏移时,图像匹配的相对概率提高到67%; 当它在边缘出口时,它得到了50%。 研究表明,这种方法是简单的模型,实时质量和抗几何变形。 最重要的是,它只是进行了。

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