首页> 外文会议>Progress in pattern recognition, image analysis, computer vision, and applications >A Fuzzy Segmentation Method for Images of Heat-Emitting Objects
【24h】

A Fuzzy Segmentation Method for Images of Heat-Emitting Objects

机译:散热物体图像的模糊分割方法

获取原文
获取原文并翻译 | 示例

摘要

In this paper a problem of soft image segmentation is considered. An approach for segmenting images of heat-emitting specimens is introduced. Proposed algorithm is an extension of fuzzy C-means (FCM) clustering method. Results of applying the algorithm to exemplary images of heat-emitting specimens are presented and discussed. Moreover the comparison with results of standard fuzzy C-means clustering is provided.
机译:在本文中,考虑了软图像分割的问题。介绍了一种分割热样本图像的方法。提出的算法是对模糊C均值(FCM)聚类方法的扩展。提出并讨论了将该算法应用于散热样本的示例图像的结果。此外,还提供了与标准模糊C均值聚类结果的比较。

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