• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Computer Integrated Manufacturing >A novel algorithm for the extraction of machining areas based on morphological image processing
【24h】

A novel algorithm for the extraction of machining areas based on morphological image processing

机译：基于形态图像处理的加工区域提取新算法

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In machining of free-form or compound surfaces, machining areas are sometimes required to be expressed in a boundary representation. To extract the boundary easily, Z-map models are commonly employed. Using traditional approaches, boundaries cannot be extracted precisely from a Z-map model. A boundary extraction algorithm for the machining area detection is proposed based on morphological image processing in this paper. Firstly, the Z-map model is transformed into a binary image with a slicing plane. The binary image is then dilated and the boundary pixels of the dilated image are extracted and coded. Finally, preferable accurate boundaries are generated. Experimental results show that the machining area boundaries extracted by this algorithm are more precise and smoother than those using traditional Z-map methods.
机译：在加工自由形状或复合表面时，有时需要以边界表示形式表示加工区域。为了轻松提取边界，通常使用Z-map模型。使用传统方法，无法从Z地图模型精确提取边界。提出了一种基于形态图像处理的加工区域检测边界提取算法。首先，将Z-map模型转换为带有切片平面的二进制图像。然后将二值图像放大，并且提取并编码该放大图像的边界像素。最终，产生优选的精确边界。实验结果表明，与传统的Z-map方法相比，该算法提取的加工区域边界更精确，更平滑。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号