• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2002 6th International Conference on Signal Processing Proceedings (ICSP'02) Vol.2; Aug 26-30, 2002; Beijing, China >IMAGE SEGMENTATION USING MODIFIED EXTENDED FUZZY RULES
【24h】

IMAGE SEGMENTATION USING MODIFIED EXTENDED FUZZY RULES

机译：使用改进的扩展模糊规则进行图像分割

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

The extended fuzzy rules for image segmentation (EFRIS) algorithm initially splits all segmented regions into mutually exclusive 4-connected objects, from which the largest one in each region is designated as its main object. A drawback of this approach is that it is less effective when the main objects are relatively small and some of the other objects are completely surrounded and connected to the main object of another region. Besides possessing insufficient merging rules, EFRIS also only considers the surrounding main objects in the original order that the regions were segmented, which is undesirable. In this paper. a new general segmentation algorithm called modified extended fuzzy rules for image segmentation (MEFRIS) is presented, which addresses these problems and whose improved segmentation performance is analysed and numerically evaluated. The results are also contrasted with both the original generic fuzzy rule-based image segmentation (GFRIS) and EFRIS algorithms.
机译：扩展的图像分割模糊规则（EFRIS）算法最初将所有分割的区域分为互斥的4个连接对象，从该对象中将每个区域中最大的一个指定为其主要对象。这种方法的缺点是，当主要对象相对较小并且某些其他对象被完全包围并连接到另一个区域的主要对象时，效果不佳。除了没有足够的合并规则外，EFRIS还仅按照区域分割的原始顺序考虑周围的主要对象，这是不希望的。在本文中。提出了一种新的通用分割算法，称为改进的扩展模糊规则用于图像分割（MEFRIS），解决了这些问题，并对改进后的分割性能进行了分析和数值评估。该结果还与原始的基于通用模糊规则的图像分割（GFRIS）和EFRIS算法进行了对比。

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