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机构地区:[1]东北大学机械工程与自动化学院,辽宁沈阳110004
出 处:《东北大学学报(自然科学版)》2009年第8期1178-1180,1184,共4页Journal of Northeastern University(Natural Science)
基 金:辽宁省自然科学基金资助项目(20062029)
摘 要:机构轨迹间接综合的基本实现途径是将期望轨迹曲线与预先建立的轨迹图谱库中的曲线进行比较以寻求匹配者,进而提取这些曲线对应的机构,这对于机构的创新设计有着重要的意义.提出了基于形心的轨迹分析方法.轨迹图像经过旋转、平移和缩放变换后,被规范化在21×21像素内,解决了对图像进行编码操作的关键技术问题.把模糊识别原理用于相似图像之间的匹配,方便快速地实现了机构轨迹的间接综合.分析结果表明,基于形心的轨迹分析方法有效、合理,指出可以通过扩大轨迹处理后标准化字符串的长度,来提高轨迹的计算精度.The indirect way to implement the mechanism path synthesis is mainly to match the expected path curve with the present curve in path atlas through comparison, then extract the mechanism corresponding to these curves. It is of significance to the innovative design of mechanisms. A centroid-based method is proposed to analyze the path curves. After rotating, translating and scaling down/up, the path curve image is normalized in an area of 21 × 21 pixels, thus solving the key technological problem of coding the image. Furthermore, matching similar images on the principle of fuzzy recognition will enable the mechanism path to be indirectly synthesized quickly and easily. The centroid-based method is proved effective and reasonable, and the accuracy of calculating the path can be improved by way of lengthening the standardized character string after path curve processing.
关 键 词:机构综合 轨迹图谱 间接综合 模糊识别 图像匹配
分 类 号:TP24[自动化与计算机技术—检测技术与自动化装置]
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