首页> 外文会议>Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China >Automatic Thresholding of the Gray-Level images Using Two-dimensional Bayes Discrimination Rule
【24h】

Automatic Thresholding of the Gray-Level images Using Two-dimensional Bayes Discrimination Rule

机译:使用二维贝叶斯判别规则自动对灰度图像进行阈值处理

获取原文
获取原文并翻译 | 示例

摘要

The paper integrates the virtues of thresholding and region growing, and utilizes gray frequency distributing and local spatial information to segment image simultaneously by multi-gray-character(multi-dimensional histogram). The technique researched in this paper was found on the model that multi-dimensional histogram of an image that fits multi-dimensional gaussian-mixture-distributing. The paper derivates the parameters formulations of gaussian-mixture model based on maximum likelihood estimate, then the bayes discrimination rule guides the segmentation result. The theoretic analysis and experiment indicates the new technique overcomes two main shortcomings of the existing similar techniques.
机译:本文综合了阈值和区域增长的优点,利用灰度频率分布和局部空间信息,通过多灰度字符(多维直方图)同时分割图像。本文研究的技术是在该模型上发现的,该图像的多维直方图适合多维高斯混合分布。本文基于最大似然估计推导高斯混合模型的参数公式,然后用贝叶斯判别规则指导分割结果。理论分析和实验表明,该新技术克服了现有同类技术的两个主要缺点。

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