• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Applied Mechanics and Manufacturing System >Research on Lloyd-Max Quantizer with Two-Stage Otsu's Method
【24h】

Research on Lloyd-Max Quantizer with Two-Stage Otsu's Method

机译：具有两阶段OTSU方法的Lloyd-MAX量化器研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Otsu's method is often used in image segmentation applications such as defect detections, medical image diagnosis and object shape recognitions. However it is very time-consuming for multilevel segmentation. Lloyd-Max quantizer is a popular and efficient data compressor. Fundamentally, Otsu's method and Lloyd-Max quantizer are equivalent to maximum a posteriori probability estimate. Applying them on multilevel image segmentation, we can find their segmented results over an image are very approximate, but Otsu's method running in exhaustive search consumes more processing time than Lloyd-Max quantizer with iterative characteristics does. Thus, Lloyd-Max quantizer is strongly recommended as the fast and first-stage agent for Otsu's method to find the optimal threshold values for image segmentation.
机译：OTSU的方法通常用于图像分割应用，例如缺陷检测，医学图像诊断和对象形状识别。然而，对于多级分割是非常耗时的。 LLOYD-MAX量化器是一种流行且高效的数据压缩机。从根本上，OTSU的方法和LLOYD-MAX量化器相当于最大的后验概率估计。将它们应用于多级图像分割，我们可以在图像上找到它们的分段结果非常近似，但是在详尽的搜索中运行的Otsu的方法比Lloyd-max量化器的处理时间更多，具有迭代特性。因此，强烈建议LLOYD-MAX量化器作为OTSU的方法的快速和第一阶段代理，以找到图像分割的最佳阈值。

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